- About
- Editorial board
- Articles
- Special issues
- Highlight articles
- Manuscript tracking
- Subscribe to alerts
- Peer-review process
- For authors
- For editors and referees
- EGU publications
- Imprint
- Data protection
Journal cover
Journal topic
Geoscientific Model Development
An interactive open-access journal of the European Geosciences Union
Journal topic
- About
- Editorial board
- Articles
- Special issues
- Highlight articles
- Manuscript tracking
- Subscribe to alerts
- Peer-review process
- For authors
- For editors and referees
- EGU publications
- Imprint
- Data protection
Journal metrics
Journal metrics
IF 5.154
5.697CiteScore
5.56SNIP 1.761
SJR 3.164
index 59h5-index 49
Abstracted/indexed
Abstracted/indexed
GMD | Articles | Volume 12, issue 2
Geosci. Model Dev., 12, 765–784, 2019
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 765–784, 2019
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Development and technical paper 20 Feb 2019
Development and technical paper | 20 Feb 2019
Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2)
Alberto Martínez-de la Torre et al.Related authors
Alberto Martínez-de la Torre and Gonzalo Miguez-Macho
Hydrol. Earth Syst. Sci., 23, 4909–4932, https://doi.org/10.5194/hess-23-4909-2019, https://doi.org/10.5194/hess-23-4909-2019, 2019
Short summary
Short summary
Over semi-arid regions, it is essential to have a correct representation of the groundwater processes in climate modelling. We present a land surface and groundwater model that incorporates groundwater–soil interactions, groundwater–rivers flow and lateral transport at the subsurface. We study the groundwater influence on soil moisture distribution and memory, and on evapotranspiration in the Iberian Peninsula. Shallow water table regions persist and provide water to the surface during droughts.
Huw W. Lewis, Juan Manuel Castillo Sanchez, Alex Arnold, Joachim Fallmann, Andrew Saulter, Jennifer Graham, Mike Bush, John Siddorn, Tamzin Palmer, Adrian Lock, John Edwards, Lucy Bricheno, Alberto Martínez-de la Torre, and James Clark
Geosci. Model Dev., 12, 2357–2400, https://doi.org/10.5194/gmd-12-2357-2019, https://doi.org/10.5194/gmd-12-2357-2019, 2019
Short summary
Short summary
In the real world the atmosphere, oceans and land surface are closely interconnected, and yet the prediction systems used for weather and ocean forecasting tend to treat them in isolation. This paper describes the third version of a regional modelling system which aims to represent the feedback processes between sky, sea and land. The main innovation introduced in this version enables waves to affect the underlying ocean. Coupled results from four different month-long simulations are analysed.
Md Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Jan Polcher, Clément Albergel, Emanuel Dutra, Gabriel Fink, Alberto Martínez-de la Torre, and Simon Munier
Hydrol. Earth Syst. Sci., 23, 1973–1994, https://doi.org/10.5194/hess-23-1973-2019, https://doi.org/10.5194/hess-23-1973-2019, 2019
Short summary
Short summary
This study investigates the propagation of precipitation uncertainty, and its interaction with hydrologic modeling, in global water resource reanalysis. Analysis is based on ensemble hydrologic simulations for a period of 11 years based on six global hydrologic models and five precipitation datasets. Results show that uncertainties in the model simulations are attributed to both uncertainty in precipitation forcing and the model structure.
Toby R. Marthews, Eleanor M. Blyth, Alberto Martínez-de la Torre, and Ted I. E. Veldkamp
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-622, https://doi.org/10.5194/hess-2018-622, 2019
Revised manuscript accepted for HESS
Short summary
Short summary
Climate change impact modellers can only act on predictions of the occurrence of an extreme event in the Earth System if they know the uncertainty in that prediction and how uncertainty is attributable to different model components. Using eartH2Observe data, we quantify the balance between different sources of uncertainty in global evapotranspiration and runoff, making a crucial contribution to understanding the spatial distribution of water resource allocation deficiencies.
Eleanor M. Blyth, Alberto Martinez-de la Torre, and Emma L. Robinson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-153, https://doi.org/10.5194/hess-2018-153, 2018
Manuscript not accepted for further review
Short summary
Short summary
In a warming climate, the water budget of the land is subject to varying forces such as increasing evaporative demand, mainly through the increased temperature, and changes to the precipitation, which might go up or down. Using a verified, physically based model over with 55 years, an analysis of the water budget demonstrates that Great Britain is getting warmer and wetter. We demonstrated that amount of water captured on the trees has an impact on the overall trend.
Alberto Martínez-de la Torre, Eleanor M. Blyth, and Graham P. Weedon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-750, https://doi.org/10.5194/hess-2017-750, 2018
Manuscript not accepted for further review
Short summary
Short summary
Land surface interactions with the atmosphere are key for weather and climate modelling studies, both in research and in the operational systems that provide scientific tools for decision makers. Regional assessments will be influenced by the characteristics of the land. We improved the representation of Great Britain river flows by including a dependency on terrain slope. This development will be reflected not only in river flows, but in the whole water cycle represented by the model/system.
Huw W. Lewis, Juan Manuel Castillo Sanchez, Jennifer Graham, Andrew Saulter, Jorge Bornemann, Alex Arnold, Joachim Fallmann, Chris Harris, David Pearson, Steven Ramsdale, Alberto Martínez-de la Torre, Lucy Bricheno, Eleanor Blyth, Victoria A. Bell, Helen Davies, Toby R. Marthews, Clare O'Neill, Heather Rumbold, Enda O'Dea, Ashley Brereton, Karen Guihou, Adrian Hines, Momme Butenschon, Simon J. Dadson, Tamzin Palmer, Jason Holt, Nick Reynard, Martin Best, John Edwards, and John Siddorn
Geosci. Model Dev., 11, 1–42, https://doi.org/10.5194/gmd-11-1-2018, https://doi.org/10.5194/gmd-11-1-2018, 2018
Short summary
Short summary
In the real world the atmosphere, oceans and land surface are closely interconnected, and yet prediction systems tend to treat them in isolation. Those feedbacks are often illustrated in natural hazards, such as when strong winds lead to large waves and coastal damage, or when prolonged rainfall leads to saturated ground and high flowing rivers. For the first time, we have attempted to represent some of the feedbacks between sky, sea and land within a high-resolution forecast system for the UK.
Jaap Schellekens, Emanuel Dutra, Alberto Martínez-de la Torre, Gianpaolo Balsamo, Albert van Dijk, Frederiek Sperna Weiland, Marie Minvielle, Jean-Christophe Calvet, Bertrand Decharme, Stephanie Eisner, Gabriel Fink, Martina Flörke, Stefanie Peßenteiner, Rens van Beek, Jan Polcher, Hylke Beck, René Orth, Ben Calton, Sophia Burke, Wouter Dorigo, and Graham P. Weedon
Earth Syst. Sci. Data, 9, 389–413, https://doi.org/10.5194/essd-9-389-2017, https://doi.org/10.5194/essd-9-389-2017, 2017
Short summary
Short summary
The dataset combines the results of 10 global models that describe the global continental water cycle. The data can be used as input for water resources studies, flood frequency studies etc. at different scales from continental to medium-scale catchments. We compared the results with earth observation data and conclude that most uncertainties are found in snow-dominated regions and tropical rainforest and monsoon regions.
Alberto Martínez-de la Torre and Gonzalo Miguez-Macho
Hydrol. Earth Syst. Sci., 23, 4909–4932, https://doi.org/10.5194/hess-23-4909-2019, https://doi.org/10.5194/hess-23-4909-2019, 2019
Short summary
Short summary
Over semi-arid regions, it is essential to have a correct representation of the groundwater processes in climate modelling. We present a land surface and groundwater model that incorporates groundwater–soil interactions, groundwater–rivers flow and lateral transport at the subsurface. We study the groundwater influence on soil moisture distribution and memory, and on evapotranspiration in the Iberian Peninsula. Shallow water table regions persist and provide water to the surface during droughts.
Christopher P. O. Reyer, Ramiro Silveyra Gonzalez, Klara Dolos, Florian Hartig, Ylva Hauf, Matthias Noack, Petra Lasch-Born, Thomas Rötzer, Hans Pretzsch, Henning Mesenburg, Stefan Fleck, Markus Wagner, Andreas Bolte, Tanja G. M. Sanders, Pasi Kolari, Annikki Mäkelä, Timo Vesala, Ivan Mammarella, Jukka Pumpanen, Alessio Collalti, Carlo Trotta, Giorgio Matteucci, Ettore D'Andrea, Lenka Foltýnová, Jan Krejza, Andreas Ibrom, Kim Pilegaard, Denis Loustau, Jean-Marc Bonnefond, Paul Berbigier, Delphine Picart, Sébastien Lafont, Michael Dietze, David Cameron, Massimo Vieno, Hanqin Tian, Alicia Palacios-Orueta, Victor Cicuendez, Laura Recuero, Klaus Wiese, Matthias Büchner, Stefan Lange, Jan Volkholz, Hyungjun Kim, Graham P. Weedon, Justin Sheffield, Iliusi Vega del Valle, Felicitas Suckow, Joanna A. Horemans, Simon Martel, Friedrich Bohn, Jörg Steinkamp, Alexander Chikalanov, Mats Mahnken, Martin Gutsch, and Katja Frieler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-220, https://doi.org/10.5194/essd-2019-220, 2019
Manuscript under review for ESSD
Short summary
Short summary
Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale to support systematic model intercomparisons and model development.
Huw W. Lewis, Juan Manuel Castillo Sanchez, Alex Arnold, Joachim Fallmann, Andrew Saulter, Jennifer Graham, Mike Bush, John Siddorn, Tamzin Palmer, Adrian Lock, John Edwards, Lucy Bricheno, Alberto Martínez-de la Torre, and James Clark
Geosci. Model Dev., 12, 2357–2400, https://doi.org/10.5194/gmd-12-2357-2019, https://doi.org/10.5194/gmd-12-2357-2019, 2019
Short summary
Short summary
In the real world the atmosphere, oceans and land surface are closely interconnected, and yet the prediction systems used for weather and ocean forecasting tend to treat them in isolation. This paper describes the third version of a regional modelling system which aims to represent the feedback processes between sky, sea and land. The main innovation introduced in this version enables waves to affect the underlying ocean. Coupled results from four different month-long simulations are analysed.
Huw W. Lewis, Juan Manuel Castillo Sanchez, John Siddorn, Robert R. King, Marina Tonani, Andrew Saulter, Peter Sykes, Anne-Christine Pequignet, Graham P. Weedon, Tamzin Palmer, Joanna Staneva, and Lucy Bricheno
Ocean Sci., 15, 669–690, https://doi.org/10.5194/os-15-669-2019, https://doi.org/10.5194/os-15-669-2019, 2019
Short summary
Short summary
Forecasts of ocean temperature, salinity, currents, and sea height can be improved by linking state-of-the-art ocean and wave models, so that they can interact to better represent the real world. We test this approach in an ocean model of north-west Europe which can simulate small-scale details of the ocean state. The intention is to implement the system described in this study for operational use so that improved information can be provided to users of ocean forecast data.
Md Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Jan Polcher, Clément Albergel, Emanuel Dutra, Gabriel Fink, Alberto Martínez-de la Torre, and Simon Munier
Hydrol. Earth Syst. Sci., 23, 1973–1994, https://doi.org/10.5194/hess-23-1973-2019, https://doi.org/10.5194/hess-23-1973-2019, 2019
Short summary
Short summary
This study investigates the propagation of precipitation uncertainty, and its interaction with hydrologic modeling, in global water resource reanalysis. Analysis is based on ensemble hydrologic simulations for a period of 11 years based on six global hydrologic models and five precipitation datasets. Results show that uncertainties in the model simulations are attributed to both uncertainty in precipitation forcing and the model structure.
Hylke E. Beck, Ming Pan, Tirthankar Roy, Graham P. Weedon, Florian Pappenberger, Albert I. J. M. van Dijk, George J. Huffman, Robert F. Adler, and Eric F. Wood
Hydrol. Earth Syst. Sci., 23, 207–224, https://doi.org/10.5194/hess-23-207-2019, https://doi.org/10.5194/hess-23-207-2019, 2019
Short summary
Short summary
We conducted a comprehensive evaluation of 26 precipitation datasets for the US using the Stage-IV gauge-radar dataset as a reference. The best overall performance was obtained by MSWEP V2.2, underscoring the importance of applying daily gauge corrections and accounting for reporting times. Our findings can be used as a guide to choose the most suitable precipitation dataset for a particular application.
Toby R. Marthews, Eleanor M. Blyth, Alberto Martínez-de la Torre, and Ted I. E. Veldkamp
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-622, https://doi.org/10.5194/hess-2018-622, 2019
Revised manuscript accepted for HESS
Short summary
Short summary
Climate change impact modellers can only act on predictions of the occurrence of an extreme event in the Earth System if they know the uncertainty in that prediction and how uncertainty is attributable to different model components. Using eartH2Observe data, we quantify the balance between different sources of uncertainty in global evapotranspiration and runoff, making a crucial contribution to understanding the spatial distribution of water resource allocation deficiencies.
Eleanor M. Blyth, Alberto Martinez-de la Torre, and Emma L. Robinson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-153, https://doi.org/10.5194/hess-2018-153, 2018
Manuscript not accepted for further review
Short summary
Short summary
In a warming climate, the water budget of the land is subject to varying forces such as increasing evaporative demand, mainly through the increased temperature, and changes to the precipitation, which might go up or down. Using a verified, physically based model over with 55 years, an analysis of the water budget demonstrates that Great Britain is getting warmer and wetter. We demonstrated that amount of water captured on the trees has an impact on the overall trend.
Emiliano Gelati, Bertrand Decharme, Jean-Christophe Calvet, Marie Minvielle, Jan Polcher, David Fairbairn, and Graham P. Weedon
Hydrol. Earth Syst. Sci., 22, 2091–2115, https://doi.org/10.5194/hess-22-2091-2018, https://doi.org/10.5194/hess-22-2091-2018, 2018
Short summary
Short summary
We compared land surface model simulations forced by several meteorological datasets with observations over the Euro-Mediterranean area, for the 1979–2012 period. Precipitation was the most uncertain forcing variable. The impacts of forcing uncertainty were larger on the mean and standard deviation rather than the timing, shape and inter-annual variability of simulated discharge. Simulated leaf area index and surface soil moisture were relatively insensitive to these uncertainties.
Alberto Martínez-de la Torre, Eleanor M. Blyth, and Graham P. Weedon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-750, https://doi.org/10.5194/hess-2017-750, 2018
Manuscript not accepted for further review
Short summary
Short summary
Land surface interactions with the atmosphere are key for weather and climate modelling studies, both in research and in the operational systems that provide scientific tools for decision makers. Regional assessments will be influenced by the characteristics of the land. We improved the representation of Great Britain river flows by including a dependency on terrain slope. This development will be reflected not only in river flows, but in the whole water cycle represented by the model/system.
Huw W. Lewis, Juan Manuel Castillo Sanchez, Jennifer Graham, Andrew Saulter, Jorge Bornemann, Alex Arnold, Joachim Fallmann, Chris Harris, David Pearson, Steven Ramsdale, Alberto Martínez-de la Torre, Lucy Bricheno, Eleanor Blyth, Victoria A. Bell, Helen Davies, Toby R. Marthews, Clare O'Neill, Heather Rumbold, Enda O'Dea, Ashley Brereton, Karen Guihou, Adrian Hines, Momme Butenschon, Simon J. Dadson, Tamzin Palmer, Jason Holt, Nick Reynard, Martin Best, John Edwards, and John Siddorn
Geosci. Model Dev., 11, 1–42, https://doi.org/10.5194/gmd-11-1-2018, https://doi.org/10.5194/gmd-11-1-2018, 2018
Short summary
Short summary
In the real world the atmosphere, oceans and land surface are closely interconnected, and yet prediction systems tend to treat them in isolation. Those feedbacks are often illustrated in natural hazards, such as when strong winds lead to large waves and coastal damage, or when prolonged rainfall leads to saturated ground and high flowing rivers. For the first time, we have attempted to represent some of the feedbacks between sky, sea and land within a high-resolution forecast system for the UK.
Hylke E. Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I. J. M. van Dijk, Graham P. Weedon, Luca Brocca, Florian Pappenberger, George J. Huffman, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 6201–6217, https://doi.org/10.5194/hess-21-6201-2017, https://doi.org/10.5194/hess-21-6201-2017, 2017
Short summary
Short summary
This study represents the most comprehensive global-scale precipitation dataset evaluation to date. We evaluated 13 uncorrected precipitation datasets using precipitation observations from 76 086 gauges, and 9 gauge-corrected ones using hydrological modeling for 9053 catchments. Our results highlight large differences in estimation accuracy, and hence, the importance of precipitation dataset selection in both research and operational applications.
Jaap Schellekens, Emanuel Dutra, Alberto Martínez-de la Torre, Gianpaolo Balsamo, Albert van Dijk, Frederiek Sperna Weiland, Marie Minvielle, Jean-Christophe Calvet, Bertrand Decharme, Stephanie Eisner, Gabriel Fink, Martina Flörke, Stefanie Peßenteiner, Rens van Beek, Jan Polcher, Hylke Beck, René Orth, Ben Calton, Sophia Burke, Wouter Dorigo, and Graham P. Weedon
Earth Syst. Sci. Data, 9, 389–413, https://doi.org/10.5194/essd-9-389-2017, https://doi.org/10.5194/essd-9-389-2017, 2017
Short summary
Short summary
The dataset combines the results of 10 global models that describe the global continental water cycle. The data can be used as input for water resources studies, flood frequency studies etc. at different scales from continental to medium-scale catchments. We compared the results with earth observation data and conclude that most uncertainties are found in snow-dominated regions and tropical rainforest and monsoon regions.
Joost Iwema, Rafael Rosolem, Mostaquimur Rahman, Eleanor Blyth, and Thorsten Wagener
Hydrol. Earth Syst. Sci., 21, 2843–2861, https://doi.org/10.5194/hess-21-2843-2017, https://doi.org/10.5194/hess-21-2843-2017, 2017
Short summary
Short summary
We investigated whether the simulation of water flux from the land surface to the atmosphere (using the Joint UK Land Environment Simulator model) could be improved by replacing traditional soil moisture sensor data with data from the more novel Cosmic-Ray Neutron soil moisture sensor. Despite observed differences between the two types of soil moisture measurement data, we found no substantial differences in improvement in water flux estimation, based on multiple calibration experiments.
Emma L. Robinson, Eleanor M. Blyth, Douglas B. Clark, Jon Finch, and Alison C. Rudd
Hydrol. Earth Syst. Sci., 21, 1189–1224, https://doi.org/10.5194/hess-21-1189-2017, https://doi.org/10.5194/hess-21-1189-2017, 2017
Short summary
Short summary
We present a dataset of daily meteorological variables at 1 km resolution over Great Britain (1961–2012), calculated by spatially downscaling coarser resolution datasets, adjusting for local topography, along with derived potential evapotranspiration (PET). A positive trend in PET was identified and attributed to trends in the meteorology. The trend in PET is particularly driven by decreasing relative humidity and increasing shortwave radiation in the spring.
Bart van den Hurk, Hyungjun Kim, Gerhard Krinner, Sonia I. Seneviratne, Chris Derksen, Taikan Oki, Hervé Douville, Jeanne Colin, Agnès Ducharne, Frederique Cheruy, Nicholas Viovy, Michael J. Puma, Yoshihide Wada, Weiping Li, Binghao Jia, Andrea Alessandri, Dave M. Lawrence, Graham P. Weedon, Richard Ellis, Stefan Hagemann, Jiafu Mao, Mark G. Flanner, Matteo Zampieri, Stefano Materia, Rachel M. Law, and Justin Sheffield
Geosci. Model Dev., 9, 2809–2832, https://doi.org/10.5194/gmd-9-2809-2016, https://doi.org/10.5194/gmd-9-2809-2016, 2016
Short summary
Short summary
This manuscript describes the setup of the CMIP6 project Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP).
E. M. Blyth, R. Oliver, and N. Gedney
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-17967-2014, https://doi.org/10.5194/bgd-11-17967-2014, 2014
Revised manuscript has not been submitted
Short summary
Short summary
By studying patterns of soil carbon in the Northern Latitudes alongside vegetation, soil temperatures and wetlands, it is apparent that the main cause of high values of soil carbon is the presence of saturated soils (wetlands). This link can only be modelled if the wetlands are assumed to completely suppress soil respiration. It is important to be able to model wetlands and their effect on soil carbon if we are to understand the long term future of the soil-carbon store in Northern Latitudes.
S. J. Sutanto, B. van den Hurk, P. A. Dirmeyer, S. I. Seneviratne, T. Röckmann, K. E. Trenberth, E. M. Blyth, J. Wenninger, and G. Hoffmann
Hydrol. Earth Syst. Sci., 18, 2815–2827, https://doi.org/10.5194/hess-18-2815-2014, https://doi.org/10.5194/hess-18-2815-2014, 2014
Related subject area
Hydrology
MELPF version 1: Modeling Error Learning based Post-Processor Framework for Hydrologic Models Accuracy Improvement
Beo v1.0: numerical model of heat flow and low-temperature thermochronology in hydrothermal systems
A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States
r.sim.terrain 1.0: a landscape evolution model with dynamic hydrology
The probabilistic hydrological MARCSHYDRO (the MARkov Chain System) model: its structure and core version 0.2
A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration
The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km
Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations
Challenges in developing a global gradient-based groundwater model (G3M v1.0) for the integration into a global hydrological model
DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology
The Canadian Hydrological Model (CHM): A multi-scale, multi-extent, variable-complexity hydrological model – Design and overview
Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution
Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change
A hydrological model for root zone water storage simulation on a global scale
glmGUI v1.0: an R-based Geographical User Interface and toolbox for GLM (General Lake Model) simulations
A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON)
V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions
GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems
Improvements to the hydrological processes of the Town Energy Balance model (TEB-Veg, SURFEX v7.3) for urban modelling and impact assessment
STORM 1.0: a simple, flexible, and parsimonious stochastic rainfall generator for simulating climate and climate change
The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems
The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility
TOPMELT 1.0: A topography-based distribution function approach to snowmelt simulation for hydrological modelling at basin scale
Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0
EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model
EDDA 2.0: integrated simulation of debris flow initiation and dynamics considering two initiation mechanisms
PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model
The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8
IPA (v1): a framework for agent-based modelling of soil water movement
Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS)
The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models
tran-SAS v1.0: a numerical model to compute catchment-scale hydrologic transport using StorAge Selection functions
Continuous state-space representation of a bucket-type rainfall-runoff model: a case study with the GR4 model using state-space GR4 (version 1.0)
A hydrological emulator for global applications – HE v1.0.0
Impacts of microtopographic snow redistribution and lateral subsurface processes on hydrologic and thermal states in an Arctic polygonal ground ecosystem: a case study using ELM-3D v1.0
A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China
GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling
Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3
VIC–CropSyst-v2: A regional-scale modeling platform to simulate the nexus of climate, hydrology, cropping systems, and human decisions
lumpR 2.0.0: an R package facilitating landscape discretisation for hillslope-based hydrological models
GLEAM v3: satellite-based land evaporation and root-zone soil moisture
Itzï (version 17.1): an open-source, distributed GIS model for dynamic flood simulation
The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds
Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation
r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows
Climate change inspector with intentionally biased bootstrapping (CCIIBB ver. 1.0) – methodology development
StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction
DebrisInterMixing-2.3: a finite volume solver for three-dimensional debris-flow simulations with two calibration parameters – Part 1: Model description
High-resolution land surface fluxes from satellite and reanalysis data (HOLAPS v1.0): evaluation and uncertainty assessment
mizuRoute version 1: a river network routing tool for a continental domain water resources applications
Rui Wu, Lei Yang, Chao Chen, Sajjad Ahmad, Sergiu M. Dascalu, and Frederick C. Harris Jr.
Geosci. Model Dev., 12, 4115–4131, https://doi.org/10.5194/gmd-12-4115-2019, https://doi.org/10.5194/gmd-12-4115-2019, 2019
Short summary
Short summary
The paper mainly has two contributions. First, a post-processor framework is proposed to improve hydrologic model accuracy. The key is to characterize possible connections between model inputs and errors. Based on results, it is also possible to replace the time-consuming model calibration step using our post-processor framework. Second, a window selection method is proposed to handle nonstationary data. A window size is chosen containing stable data using a measure named
DSproposed by us.
Elco Luijendijk
Geosci. Model Dev., 12, 4061–4073, https://doi.org/10.5194/gmd-12-4061-2019, https://doi.org/10.5194/gmd-12-4061-2019, 2019
Short summary
Short summary
This paper presents a new model code that can be used to date the flow of hot fluids in the crust and the age of hot springs. It does so by modelling the thermal effects of fluid flow in the subsurface and by comparing the results with low-temperature thermochronology, which is a widely used method to quantify the temperature history of minerals and rocks. The model also demonstrates the effects of the depth and angle of permeable faults on temperatures of hot springs.
Jiali Wang, Cheng Wang, Vishwas Rao, Andrew Orr, Eugene Yan, and Rao Kotamarthi
Geosci. Model Dev., 12, 3523–3539, https://doi.org/10.5194/gmd-12-3523-2019, https://doi.org/10.5194/gmd-12-3523-2019, 2019
Short summary
Short summary
WRF-Hydro needs to be calibrated to optimize its output with respect to observations. However, when applied to a relatively large domain, both WRF-Hydro simulations and calibrations require intensive computing resources and are best performed in parallel. This study ported an independent calibration tool (parameter estimation tool – PEST) to high-performance computing clusters and adapted it to work with WRF-Hydro. The results show significant speedup for model calibration.
Brendan Alexander Harmon, Helena Mitasova, Anna Petrasova, and Vaclav Petras
Geosci. Model Dev., 12, 2837–2854, https://doi.org/10.5194/gmd-12-2837-2019, https://doi.org/10.5194/gmd-12-2837-2019, 2019
Short summary
Short summary
The numerical model, r.sim.terrain, simulates how overland flows of water and sediment shape topography over short periods of time. We tested the model by comparing runs of the simulation against a time series of airborne lidar surveys for our study landscape. Through these tests, we demonstrated that the model can simulate gully evolution including processes such as channel incision, channel widening, and the development of scour pits, rills, and depositional ridges.
Elena Shevnina and Andrey Silaev
Geosci. Model Dev., 12, 2767–2780, https://doi.org/10.5194/gmd-12-2767-2019, https://doi.org/10.5194/gmd-12-2767-2019, 2019
Short summary
Short summary
The paper provides a theory and assumptions behind an advance of frequency analysis (AFA) approach in long-term hydrological forecasting. In this paper, a new core of the probabilistic hydrological model MARkov Chain System (MARCSHYDRO) was introduced, together with the code and an example of a climate-scale prediction of an exceedance probability curve of river runoff with low computational costs.
Ting Sun and Sue Grimmond
Geosci. Model Dev., 12, 2781–2795, https://doi.org/10.5194/gmd-12-2781-2019, https://doi.org/10.5194/gmd-12-2781-2019, 2019
Short summary
Short summary
A Python-enhanced urban land surface model, SuPy (SUEWS in Python), is presented with its development (the SUEWS interface modification, F2PY configuration and Python frontend implementation), cross-platform deployment (PyPI, Python Package Index) and demonstration (online tutorials in Jupyter notebooks for users of different levels). SuPy represents a significant enhancement that supports existing and new model applications, reproducibility and enhanced functionality.
Stephan Thober, Matthias Cuntz, Matthias Kelbling, Rohini Kumar, Juliane Mai, and Luis Samaniego
Geosci. Model Dev., 12, 2501–2521, https://doi.org/10.5194/gmd-12-2501-2019, https://doi.org/10.5194/gmd-12-2501-2019, 2019
Short summary
Short summary
We present a model that aggregates simulated runoff along a river
(i.e. a routing model). The unique feature of the model is that it
can be run at multiple resolutions without any modifications to the
input data. The model internally (dis-)aggregates all input data to
the resolution given by the user. The model performance does not
depend on the chosen resolution. This allows efficient model
calibration at coarse resolution and subsequent model application at
fine resolution.
Wouter J. M. Knoben, Jim E. Freer, Keirnan J. A. Fowler, Murray C. Peel, and Ross A. Woods
Geosci. Model Dev., 12, 2463–2480, https://doi.org/10.5194/gmd-12-2463-2019, https://doi.org/10.5194/gmd-12-2463-2019, 2019
Short summary
Short summary
Computer models are used to predict river flows. A good model should represent the river basin to which it is applied so that flow predictions are as realistic as possible. However, many different computer models exist, and selecting the most appropriate model for a given river basin is not always easy. This study combines computer code for 46 different hydrological models into a single coding framework so that models can be compared in an objective way and we can learn about model differences.
Robert Reinecke, Laura Foglia, Steffen Mehl, Tim Trautmann, Denise Cáceres, and Petra Döll
Geosci. Model Dev., 12, 2401–2418, https://doi.org/10.5194/gmd-12-2401-2019, https://doi.org/10.5194/gmd-12-2401-2019, 2019
Short summary
Short summary
G³M is a new global groundwater model (http://globalgroundwatermodel.org) that simulates lateral and vertical flows as well as exchanges with surface water bodies like rivers, lakes, and wetlands for the whole globe except Antarctica and Greenland. The newly developed model framework enables an efficient integration into established global hydrological models. This paper presents the G³M concept and specific model design decisions together with first results under a naturalized equilibrium.
Gemma Coxon, Jim Freer, Rosanna Lane, Toby Dunne, Wouter J. M. Knoben, Nicholas J. K. Howden, Niall Quinn, Thorsten Wagener, and Ross Woods
Geosci. Model Dev., 12, 2285–2306, https://doi.org/10.5194/gmd-12-2285-2019, https://doi.org/10.5194/gmd-12-2285-2019, 2019
Short summary
Short summary
DECIPHeR (Dynamic fluxEs and ConnectIvity for Predictions of Hydrology) is a new modelling framework that can be applied from small catchment to continental scales for complex river basins. This paper describes the modelling framework and its key components and demonstrates the model’s ability to be applied across a large model domain. This work highlights the potential for catchment- to continental-scale predictions of streamflow to support robust environmental management and policy decisions.
Christopher B. Marsh, John W. Pomeroy, and Howard S. Wheater
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-109, https://doi.org/10.5194/gmd-2019-109, 2019
Revised manuscript accepted for GMD
Short summary
Short summary
The Canadian Hydrological Model (CHM) is a next-generation distributed model. Although designed to be applied generally, it has a focus for application where cold-region processes, such as snowpacks, play a role in hydrology. A key feature is that it uses a multi-scale surface representation, increasing efficiency. As well, it enables algorithm comparisons in a flexible structure. Model philosophy, design, and several cold-region-specific examples are described.
Katherine R. Barnhart, Rachel C. Glade, Charles M. Shobe, and Gregory E. Tucker
Geosci. Model Dev., 12, 1267–1297, https://doi.org/10.5194/gmd-12-1267-2019, https://doi.org/10.5194/gmd-12-1267-2019, 2019
Short summary
Short summary
Terrainbento 1.0 is a Python package for modeling the evolution of the surface of the Earth over geologic time (e.g., thousands to millions of years). Despite many decades of effort by the geomorphology community, there is no one established governing equation for the evolution of topography. Terrainbento 1.0 thus provides 28 alternative models that support hypothesis testing and multi-model analysis in landscape evolution.
Taesam Lee and Vijay P. Singh
Geosci. Model Dev., 12, 1189–1207, https://doi.org/10.5194/gmd-12-1189-2019, https://doi.org/10.5194/gmd-12-1189-2019, 2019
Short summary
Short summary
A simple novel technique for simulating multisite occurrence of precipitation is proposed. The proposed technique employs the nonparametric approaches k-nearest neighbor and genetic algorithms. We tested this technique in various ways and proved that this simple technique can be useful and comparable to the existing one.
Ganquan Mao and Junguo Liu
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-52, https://doi.org/10.5194/gmd-2019-52, 2019
Revised manuscript accepted for GMD
Thomas Bueche, Marko Wenk, Benjamin Poschlod, Filippo Giadrossich, Mario Pirastru, and Mark Vetter
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-314, https://doi.org/10.5194/gmd-2018-314, 2019
Manuscript under review for GMD
Short summary
Short summary
The R-based Geographical User Interface glmGUI provides tools for pre- and postprocessing of General Lake Model (GLM) simulations, including an autocalibration, parameter sensitivity analysis, and several plot options. The model parameters can be analyzed and calibrated for the simulation output variables water temperature and lake level. The toolbox is tested for two sites (Lake Ammersee, Germany, and Lake Baratz, Italy).
Matthew R. Hipsey, Louise C. Bruce, Casper Boon, Brendan Busch, Cayelan C. Carey, David P. Hamilton, Paul C. Hanson, Jordan S. Read, Eduardo de Sousa, Michael Weber, and Luke A. Winslow
Geosci. Model Dev., 12, 473–523, https://doi.org/10.5194/gmd-12-473-2019, https://doi.org/10.5194/gmd-12-473-2019, 2019
Short summary
Short summary
The General Lake Model (GLM) has been developed to undertake simulation of a diverse range of wetlands, lakes, and reservoirs. The model supports the science needs of the Global Lake Ecological Observatory Network (GLEON), a network of lake sensors and researchers attempting to understand lake functioning and address questions about how lakes around the world vary in response to climate and land use change. The paper describes the science basis and application of the model.
Fanny Sarrazin, Andreas Hartmann, Francesca Pianosi, Rafael Rosolem, and Thorsten Wagener
Geosci. Model Dev., 11, 4933–4964, https://doi.org/10.5194/gmd-11-4933-2018, https://doi.org/10.5194/gmd-11-4933-2018, 2018
Short summary
Short summary
We propose the first large-scale vegetation–recharge model for karst regions (V2Karst), which enables the analysis of the impact of changes in climate and land cover on karst groundwater recharge. We demonstrate the plausibility of V2Karst simulations against observations at FLUXNET sites and of controlling modelled processes using sensitivity analysis. We perform virtual experiments to further test the model and gain insight into its sensitivity to precipitation pattern and vegetation cover.
G.-H. Crystal Ng, Andrew D. Wickert, Lauren D. Somers, Leila Saberi, Collin Cronkite-Ratcliff, Richard G. Niswonger, and Jeffrey M. McKenzie
Geosci. Model Dev., 11, 4755–4777, https://doi.org/10.5194/gmd-11-4755-2018, https://doi.org/10.5194/gmd-11-4755-2018, 2018
Short summary
Short summary
The profound importance of water has led to the development of increasingly complex hydrological models. However, implementing these models is usually time-consuming and requires specialized expertise, stymieing their widespread use to support science-driven decision-making. In response, we have developed GSFLOW–GRASS, a robust and comprehensive set of software tools that can be readily used to set up and execute GSFLOW, the U.S. Geological Survey's coupled groundwater–surface-water flow model.
Xenia Stavropulos-Laffaille, Katia Chancibault, Jean-Marc Brun, Aude Lemonsu, Valéry Masson, Aaron Boone, and Hervé Andrieu
Geosci. Model Dev., 11, 4175–4194, https://doi.org/10.5194/gmd-11-4175-2018, https://doi.org/10.5194/gmd-11-4175-2018, 2018
Short summary
Short summary
Integrating vegetation in urban planning is promoted to counter steer potential impacts of climate and demographic changes. Assessing the multiple benefits of such strategies on the urban microclimate requires a detailed coupling of both the water and energy transfers in numerical tools. In this respect, the representation of water-related processes in the urban subsoil of the existing model TEB-Veg has been improved. The new model thus allows a better evaluation of urban adaptation strategies.
Michael Bliss Singer, Katerina Michaelides, and Daniel E. J. Hobley
Geosci. Model Dev., 11, 3713–3726, https://doi.org/10.5194/gmd-11-3713-2018, https://doi.org/10.5194/gmd-11-3713-2018, 2018
Short summary
Short summary
For various applications, a regional or local characterization of rainfall is required, particularly at the watershed scale, where there is spatial heterogeneity. Furthermore, simple models are needed that can simulate various scenarios of climate change including changes in seasonal wetness and rainstorm intensity. To this end, we have developed the STOchastic Rainstorm Model (STORM). We explain its developments and data requirements, and illustrate how it simulates rainstorms over a basin.
Kristi R. Arsenault, Sujay V. Kumar, James V. Geiger, Shugong Wang, Eric Kemp, David M. Mocko, Hiroko Kato Beaudoing, Augusto Getirana, Mahdi Navari, Bailing Li, Jossy Jacob, Jerry Wegiel, and Christa D. Peters-Lidard
Geosci. Model Dev., 11, 3605–3621, https://doi.org/10.5194/gmd-11-3605-2018, https://doi.org/10.5194/gmd-11-3605-2018, 2018
Short summary
Short summary
The Earth’s land surface hydrology and physics can be represented in highly sophisticated models known as land surface models. The Land surface Data Toolkit (LDT) software was developed to meet these models’ input processing needs. LDT supports a variety of land surface and hydrology models and prepares the inputs (e.g., meteorological data, satellite observations to be assimilated into a model), which can be used for inter-model studies and to initialize weather and climate forecasts.
Joseph J. Hamman, Bart Nijssen, Theodore J. Bohn, Diana R. Gergel, and Yixin Mao
Geosci. Model Dev., 11, 3481–3496, https://doi.org/10.5194/gmd-11-3481-2018, https://doi.org/10.5194/gmd-11-3481-2018, 2018
Short summary
Short summary
Variable Infiltration Capacity (VIC) is a widely used hydrologic model. This paper documents the development of VIC version 5, which includes a reconfiguration of the model source code to support a wider range of modeling applications. It also represents a significant step forward for the VIC user community in terms of support for a range of modeling applications, reproducibility, and scientific robustness.
Mattia Zaramella, Marco Borga, Davide Zoccatelli, and Luca Carturan
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-202, https://doi.org/10.5194/gmd-2018-202, 2018
Revised manuscript accepted for GMD
Short summary
Short summary
This paper presents TOPMELT, a parsimonious snowpack simulation model integrated into a basin scale hydrological model. TOPMELT implements the full spatial distribution of clear sky potential solar radiation by means of a statistical representation: this approach reduces computational burden, which is a key potential advantage when parameter sensitivity and uncertainty estimation procedures are carried out. The model is assessed by examining different resolutions of its domain.
Rebecca Emerton, Ervin Zsoter, Louise Arnal, Hannah L. Cloke, Davide Muraro, Christel Prudhomme, Elisabeth M. Stephens, Peter Salamon, and Florian Pappenberger
Geosci. Model Dev., 11, 3327–3346, https://doi.org/10.5194/gmd-11-3327-2018, https://doi.org/10.5194/gmd-11-3327-2018, 2018
Short summary
Short summary
Global overviews of upcoming flood and drought events are key for many applications from agriculture to disaster risk reduction. Seasonal forecasts are designed to provide early indications of such events weeks or even months in advance. This paper introduces GloFAS-Seasonal, the first operational global-scale seasonal hydro-meteorological forecasting system producing openly available forecasts of high and low river flow out to 4 months ahead.
Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta, and Chris Soulsby
Geosci. Model Dev., 11, 3045–3069, https://doi.org/10.5194/gmd-11-3045-2018, https://doi.org/10.5194/gmd-11-3045-2018, 2018
Short summary
Short summary
This paper presents a novel ecohydrological model in which both the fluxes of water and the relative concentration in stable isotopes (2H and 18O) can be simulated. Spatial heterogeneity, lateral transfers and plant-driven water use are incorporated. A thorough evaluation shows encouraging results using a wide range of in situ measurements from a Scottish catchment. The same modelling principles are then used to simulate how (and where) precipitation ages as water transits in the catchment.
Ping Shen, Limin Zhang, Hongxin Chen, and Ruilin Fan
Geosci. Model Dev., 11, 2841–2856, https://doi.org/10.5194/gmd-11-2841-2018, https://doi.org/10.5194/gmd-11-2841-2018, 2018
Short summary
Short summary
A rainstorm can trigger numerous debris flows. A difficult task in debris flow risk assessment is to identify debris flow initiation locations and volumes. This paper presents a new model to solve this problem by physically simulating the initiation of debris flows by hillslope bed erosion and transformation from slope failures. The sediment from these two initiation mechanisms joins the flow mixture, and the volume of the flow mixture increases along the flow path due to additional bed erosion.
Edwin H. Sutanudjaja, Rens van Beek, Niko Wanders, Yoshihide Wada, Joyce H. C. Bosmans, Niels Drost, Ruud J. van der Ent, Inge E. M. de Graaf, Jannis M. Hoch, Kor de Jong, Derek Karssenberg, Patricia López López, Stefanie Peßenteiner, Oliver Schmitz, Menno W. Straatsma, Ekkamol Vannametee, Dominik Wisser, and Marc F. P. Bierkens
Geosci. Model Dev., 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018, https://doi.org/10.5194/gmd-11-2429-2018, 2018
Short summary
Short summary
PCR-GLOBWB 2 is an integrated hydrology and water resource model that fully integrates water use simulation and consolidates all features that have been developed since PCR-GLOBWB 1 was introduced. PCR-GLOBWB 2 can have a global coverage at 5 arcmin resolution and supersedes PCR-GLOBWB 1, which has a resolution of 30 arcmin only. Comparing the 5 arcmin with 30 arcmin simulations using discharge data, we clearly find improvement in the model performance of the higher-resolution model.
Marialaura Bancheri, Francesco Serafin, Michele Bottazzi, Wuletawu Abera, Giuseppe Formetta, and Riccardo Rigon
Geosci. Model Dev., 11, 2189–2207, https://doi.org/10.5194/gmd-11-2189-2018, https://doi.org/10.5194/gmd-11-2189-2018, 2018
Short summary
Short summary
This paper presents a new modeling package for the spatial interpolation of environmental variables. It includes 11 theoretical semivariogram models and four types of Kriging interpolations. To test the performances of the package, two applications are performed: the interpolation of 1 year of temperatures
and a rainfall event. Both interpolations gave good results. In comparison with gstat, the SIK package proved to be a good alternative, regarding both the easiness of use and the accuracy.
Benjamin Mewes and Andreas H. Schumann
Geosci. Model Dev., 11, 2175–2187, https://doi.org/10.5194/gmd-11-2175-2018, https://doi.org/10.5194/gmd-11-2175-2018, 2018
Miao Jing, Falk Heße, Rohini Kumar, Wenqing Wang, Thomas Fischer, Marc Walther, Matthias Zink, Alraune Zech, Luis Samaniego, Olaf Kolditz, and Sabine Attinger
Geosci. Model Dev., 11, 1989–2007, https://doi.org/10.5194/gmd-11-1989-2018, https://doi.org/10.5194/gmd-11-1989-2018, 2018
Julian Koch, Mehmet Cüneyd Demirel, and Simon Stisen
Geosci. Model Dev., 11, 1873–1886, https://doi.org/10.5194/gmd-11-1873-2018, https://doi.org/10.5194/gmd-11-1873-2018, 2018
Short summary
Short summary
Our work addresses a key challenge in earth system modelling: how to optimally exploit the information contained in satellite remote sensing observations in the calibration of such models. For this we thoroughly test a number of measures that quantify the fit between an observed and a simulated spatial pattern. We acknowledge the difficulties associated with such a comparison and suggest using measures that regard multiple aspects of spatial information, i.e. magnitude and variability.
Paolo Benettin and Enrico Bertuzzo
Geosci. Model Dev., 11, 1627–1639, https://doi.org/10.5194/gmd-11-1627-2018, https://doi.org/10.5194/gmd-11-1627-2018, 2018
Short summary
Short summary
Solutes introduced in the environment are transported by water to streams and lakes. The tran-SAS package includes a set of codes to model this process for entire watersheds by using the concept of water residence times, i.e. the time that water takes to move through the landscape. Results show that the model is implemented efficiently and it can be used to simulate solute transport in a number of different conditions.
Léonard Santos, Guillaume Thirel, and Charles Perrin
Geosci. Model Dev., 11, 1591–1605, https://doi.org/10.5194/gmd-11-1591-2018, https://doi.org/10.5194/gmd-11-1591-2018, 2018
Short summary
Short summary
Many rainfall–runoff models are based on stores. However, the differential equations that describe the stores' evolution are rarely presented in literature.
This represents an issue when the temporal resolution changes. In this work, we propose and evaluate a state-space version of a simple rainfall–runoff model within a robust resolution scheme. The results show that the proposed model performs equally well or slightly better than the original one and is independent of the temporal resolution.
Yaling Liu, Mohamad Hejazi, Hongyi Li, Xuesong Zhang, and Guoyong Leng
Geosci. Model Dev., 11, 1077–1092, https://doi.org/10.5194/gmd-11-1077-2018, https://doi.org/10.5194/gmd-11-1077-2018, 2018
Short summary
Short summary
This hydrologic emulator provides researchers with an easy way to investigate the variations in water budgets at any spatial scale of interest, with minimum requirements of effort, reasonable model predictability, and appealing computational efficiency. We expect it to have a profound influence on scientific endeavors in hydrological modeling and to excite the immediate interest of researchers working on climate impact assessments, uncertainty/sensitivity analysis, and integrated assessment.
Gautam Bisht, William J. Riley, Haruko M. Wainwright, Baptiste Dafflon, Fengming Yuan, and Vladimir E. Romanovsky
Geosci. Model Dev., 11, 61–76, https://doi.org/10.5194/gmd-11-61-2018, https://doi.org/10.5194/gmd-11-61-2018, 2018
Short summary
Short summary
The land model integrated into the Energy Exascale Earth System Model was extended to include snow redistribution (SR) and lateral subsurface hydrologic and thermal processes. Simulation results at a polygonal tundra site near Barrow, Alaska, showed that inclusion of SR resulted in a better agreement with observations. Excluding lateral subsurface processes had a small impact on mean states but caused a large overestimation of spatial variability in soil moisture and temperature.
Chongyang Wang, Shuisen Chen, Dan Li, Danni Wang, Wei Liu, and Ji Yang
Geosci. Model Dev., 10, 4347–4365, https://doi.org/10.5194/gmd-10-4347-2017, https://doi.org/10.5194/gmd-10-4347-2017, 2017
Short summary
Short summary
Monitoring total suspended solids (TSS) concentration from satellites has unique advantages. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditions is still under research. We studied many previous different satellite sensors models and finally developed a new model.
Jannis M. Hoch, Jeffrey C. Neal, Fedor Baart, Rens van Beek, Hessel C. Winsemius, Paul D. Bates, and Marc F. P. Bierkens
Geosci. Model Dev., 10, 3913–3929, https://doi.org/10.5194/gmd-10-3913-2017, https://doi.org/10.5194/gmd-10-3913-2017, 2017
Short summary
Short summary
To improve flood hazard assessments, it is vital to model all relevant processes. We here present GLOFRIM, a framework for coupling hydrologic and hydrodynamic models to increase the number of physical processes represented in hazard computations. GLOFRIM is openly available, versatile, and extensible with more models. Results also underpin its added value for model benchmarking, showing that not only model forcing but also grid properties and the numerical scheme influence output accuracy.
Adrien Gaudard, Robert Schwefel, Love Råman Vinnå, Martin Schmid, Alfred Wüest, and Damien Bouffard
Geosci. Model Dev., 10, 3411–3423, https://doi.org/10.5194/gmd-10-3411-2017, https://doi.org/10.5194/gmd-10-3411-2017, 2017
Short summary
Short summary
The study of lakes often uses numerical models to reproduce the processes occurring in nature as accurately as possible. Due to the complexity of natural systems, all numerical models need to leave aside or simplify many of the relevant processes. In this work, we improve the modelling of the impact of wind on the internal currents in deep lakes. This improves the reproduction of deep mixing, which influences the concentrations of oxygen and nutrients, with biological and chemical consequences.
Keyvan Malek, Claudio Stöckle, Kiran Chinnayakanahalli, Roger Nelson, Mingliang Liu, Kirti Rajagopalan, Muhammad Barik, and Jennifer C. Adam
Geosci. Model Dev., 10, 3059–3084, https://doi.org/10.5194/gmd-10-3059-2017, https://doi.org/10.5194/gmd-10-3059-2017, 2017
Tobias Pilz, Till Francke, and Axel Bronstert
Geosci. Model Dev., 10, 3001–3023, https://doi.org/10.5194/gmd-10-3001-2017, https://doi.org/10.5194/gmd-10-3001-2017, 2017
Short summary
Short summary
To discretise and transfer a landscape into a hydrological model, many different algorithms and software implementations exist. These are, however, often model specific, commercial, and allow for only a limited workflow automation. Overcoming these limitations, the software package lumpR was developed. It employs an hillslope-based discretisation algorithm directed at large-scale application. The software is demonstrated in a case study and crucial discretisation parameters are investigated.
Brecht Martens, Diego G. Miralles, Hans Lievens, Robin van der Schalie, Richard A. M. de Jeu, Diego Fernández-Prieto, Hylke E. Beck, Wouter A. Dorigo, and Niko E. C. Verhoest
Geosci. Model Dev., 10, 1903–1925, https://doi.org/10.5194/gmd-10-1903-2017, https://doi.org/10.5194/gmd-10-1903-2017, 2017
Short summary
Short summary
Terrestrial evaporation is a key component of the hydrological cycle and reliable data sets of this variable are of major importance. The Global Land Evaporation Amsterdam Model (GLEAM, www.GLEAM.eu) is a set of algorithms which estimates evaporation based on satellite observations. The third version of GLEAM, presented in this study, includes an improved parameterization of different model components. As a result, the accuracy of the GLEAM data sets has been improved upon previous versions.
Laurent Guillaume Courty, Adrián Pedrozo-Acuña, and Paul David Bates
Geosci. Model Dev., 10, 1835–1847, https://doi.org/10.5194/gmd-10-1835-2017, https://doi.org/10.5194/gmd-10-1835-2017, 2017
Short summary
Short summary
This paper presents Itzï, a new free software for the simulation of floods. It is integrated with a geographic information system (GIS), which reduces the human time necessary for preparing the entry data and analysing the results of the simulation.
Itzï uses a simplified numerical scheme that permits to obtain results faster than with other types of models using more complex equations.
In this article, Itzï is tested with three cases that show its suitability to simulate urban floods.
Jordan M. Adams, Nicole M. Gasparini, Daniel E. J. Hobley, Gregory E. Tucker, Eric W. H. Hutton, Sai S. Nudurupati, and Erkan Istanbulluoglu
Geosci. Model Dev., 10, 1645–1663, https://doi.org/10.5194/gmd-10-1645-2017, https://doi.org/10.5194/gmd-10-1645-2017, 2017
Short summary
Short summary
OverlandFlow is a 2-dimensional hydrology component contained within the Landlab modeling framework. It can be applied in both hydrology and geomorphology applications across real and synthetic landscape grids, for both short- and long-term events. This paper finds that this non-steady hydrology regime produces different landscape characteristics when compared to more traditional steady-state hydrology and geomorphology models, suggesting that hydrology regime can impact resulting morphologies.
Xiangyu Luo, Hong-Yi Li, L. Ruby Leung, Teklu K. Tesfa, Augusto Getirana, Fabrice Papa, and Laura L. Hess
Geosci. Model Dev., 10, 1233–1259, https://doi.org/10.5194/gmd-10-1233-2017, https://doi.org/10.5194/gmd-10-1233-2017, 2017
Short summary
Short summary
This study shows that alleviating vegetation-caused biases in DEM data, refining channel cross-sectional geometry and Manning roughness coefficients, as well as accounting for backwater effects can effectively improve the modeling of streamflow, river stages and flood extent in the Amazon Basin. The obtained understanding could be helpful to hydrological modeling in basins with evident inundation, which has important implications for improving land–atmosphere interactions in Earth system models.
Martin Mergili, Jan-Thomas Fischer, Julia Krenn, and Shiva P. Pudasaini
Geosci. Model Dev., 10, 553–569, https://doi.org/10.5194/gmd-10-553-2017, https://doi.org/10.5194/gmd-10-553-2017, 2017
Short summary
Short summary
r.avaflow represents a GIS-based, multi-functional open-source tool for the simulation of debris flows, rock avalanches, snow avalanches, or two-phase (solid and fluid) process chains. It further facilitates parameter studies and validation of the simulation results against observed patterns. r.avaflow shall inform strategies to reduce the risks related to the interaction of mass flow processes with society.
Taesam Lee
Geosci. Model Dev., 10, 525–536, https://doi.org/10.5194/gmd-10-525-2017, https://doi.org/10.5194/gmd-10-525-2017, 2017
Short summary
Short summary
The paper presents an explicit bias-resampling approach from observations in order to simulate global warming scenarios and to investigate the implications for hydrometeorological variables. The author considers that the suggested approach is easy to implement and to employ in other fields that are influenced by global warming.
Aurélien Gallice, Mathias Bavay, Tristan Brauchli, Francesco Comola, Michael Lehning, and Hendrik Huwald
Geosci. Model Dev., 9, 4491–4519, https://doi.org/10.5194/gmd-9-4491-2016, https://doi.org/10.5194/gmd-9-4491-2016, 2016
Short summary
Short summary
This paper presents the improvements brought to an existing model for discharge and temperature prediction in Alpine streams. Compared to the original model version, it is now possible to choose between various alternatives to simulate certain parts of the water cycle, such as the technique used to transfer water along the stream network. The paper includes an example of application of the model over an Alpine catchment in Switzerland.
Albrecht von Boetticher, Jens M. Turowski, Brian W. McArdell, Dieter Rickenmann, and James W. Kirchner
Geosci. Model Dev., 9, 2909–2923, https://doi.org/10.5194/gmd-9-2909-2016, https://doi.org/10.5194/gmd-9-2909-2016, 2016
Short summary
Short summary
Debris flows are characterized by unsteady flows of water with different content of clay, silt, sand, gravel, and large particles, resulting in a dense moving mixture mass. Here we present a three-dimensional fluid dynamic solver that simulates the flow as a mixture of a pressure-dependent rheology model of the gravel mixed with a Herschel–Bulkley rheology of the fine material suspension. We link rheological parameters to the material composition. The user must specify two free model parameters.
Alexander Loew, Jian Peng, and Michael Borsche
Geosci. Model Dev., 9, 2499–2532, https://doi.org/10.5194/gmd-9-2499-2016, https://doi.org/10.5194/gmd-9-2499-2016, 2016
Short summary
Short summary
Surface water and energy fluxes are essential components of the Earth system. The present paper introduces a new framework for the estimation of surface energy and water fluxes at the land surface, which allows for temporally and spatially high resolved flux estimates at the global scale. The framework maximizes the usage of existing long-term satellite data records. Overall the results indicate very good agreement with in situ observations when compared against 49 FLUXNET stations worldwide.
Naoki Mizukami, Martyn P. Clark, Kevin Sampson, Bart Nijssen, Yixin Mao, Hilary McMillan, Roland J. Viger, Steve L. Markstrom, Lauren E. Hay, Ross Woods, Jeffrey R. Arnold, and Levi D. Brekke
Geosci. Model Dev., 9, 2223–2238, https://doi.org/10.5194/gmd-9-2223-2016, https://doi.org/10.5194/gmd-9-2223-2016, 2016
Short summary
Short summary
mizuRoute version 1 is a stand-alone runoff routing tool that post-processes runoff outputs from any distributed hydrologic models to produce streamflow estimates in large-scale river network. mizuRoute is flexible to river network representation and includes two different river routing schemes. This paper demonstrates mizuRoute's capability of multi-decadal streamflow estimations in the river networks over the entire contiguous Unites States, which contains over 54 000 river segments.
Cited articles
Balsamo, G., Beljaars, A., Scipal, K., Viterbo, P., van den Hurk, B.,
Hirschi, M., and Betts, A. K.: A Revised Hydrology for the ECMWF Model:
Verification from Field Site to Terrestrial Water Storage and Impact in the
Integrated Forecast System, J. Hydrometeorol., 10, 623–643,
https://doi.org/10.1175/2008jhm1068.1, 2009.
Bastola, S., Murphy, C., and Sweeney, J.: The role of hydrological modelling
uncertainties in climate change impact assessments of Irish river catchments,
Adv. Water Resour., 34, 562–576,
https://doi.org/10.1016/j.advwatres.2011.01.008, 2011.
Beck, H. E., van Dijk, A. I., de Roo, A., Miralles, D. G., McVicar, T. R.,
Schellekens, J., and Bruijnzeel, L. A.: Global-scale regionalization of
hydrologic model parameters, Water Resour. Res., 52, 3599–3622,
https://doi.org/10.1002/2015WR018247, 2016.
Bell, V. A., Kay, A. L., Jones, R. G., and Moore, R. J.: Development of a
high resolution grid-based river flow model for use with regional climate
model output, Hydrol. Earth Syst. Sci., 11, 532–549,
https://doi.org/10.5194/hess-11-532-2007, 2007.
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H.,
Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N.,
Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C.
S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES),
model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4,
677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011.
Best, M. J., Abramowitz, G., Johnson, H. R., Pitman, A. J., Balsamo, G.,
Boone, A., Cuntz, M., Decharme, B., Dirmeyer, P. A., Dong, J., Ek, M., Guo,
Z., Haverd, V., van den Hurk, B. J. J., Nearing, G. S., Pak, B.,
Peters-Lidard, C., Santanello Jr., J. A., Stevens, L., and Vuichard, N.: The
Plumbing of Land Surface Models: Benchmarking Model Performance, J.
Hydrometeorol., 16, 1425–1442, https://doi.org/10.1175/jhm-d-14-0158.1, 2015.
Betts, R.: Implications of land ecosystem-atmosphere interactions for
strategies for climate change adaptation and mitigation, Tellus B, 59,
602–615, https://doi.org/10.1111/j.1600-0889.2007.00284.x, 2007.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing
area model of basin hydrology/Un modèle à base physique de zone
d'appel variable de l'hydrologie du bassin versant, Hydrol. Sci. B., 24,
43–69, https://doi.org/10.1080/02626667909491834, 1979.
Blyth, E.: Modelling soil moisture for a grassland and a woodland site in
south-east England, Hydrol. Earth Syst. Sci., 6, 39–48,
https://doi.org/10.5194/hess-6-39-2002, 2002.
Blyth, E., Clark, D. B., Ellis, R., Huntingford, C., Los, S., Pryor, M.,
Best, M., and Sitch, S.: A comprehensive set of benchmark tests for a land
surface model of simultaneous fluxes of water and carbon at both the global
and seasonal scale, Geosci. Model Dev., 4, 255–269,
https://doi.org/10.5194/gmd-4-255-2011, 2011.
Blyth, E. M., Martínez-de la Torre, A., and Robinson, E. L.: Trends in
evapotranspiration and its drivers in Great Britain: 1961 to 2015, Prog.
Phys. Geog., in review, 2019.
Boone, A., Habets, F., Noilhan, J., Clark, D., Dirmeyer, P., Fox, S., Gusev,
Y., Haddeland, I., Koster, R., Lohmann, D., Mahanama, S., Mitchell, K.,
Nasonova, O., Niu, G.-Y., Pitman, A., Polcher, J., Shmakin, A.B., Tanaka, K.,
van den Hurk, B., Vérant, S., Verseghy, D., Viterbo, P., and Yang, Z.-L.:
The Rhône-Aggregation Land Surface Scheme Intercomparison Project: An
Overview, J. Climate, 17, 187–208,
https://doi.org/10.1175/1520-0442(2004)017<0187:trlssi>2.0.co;2, 2004.
Boorman, D. B., Hollis, J. M., and Lilly, A.: Hydrology of soil types: a
hydrologically-based classification of the soils of United Kingdom,
Wallingford, Institute of Hydrology, IH Report no.126, 146 pp., 1995.
Brooks, R. H. and Corey, A. T.: Hydraulic properties of porous media,
Hydrology Papers, Colorado State University, 1964.
Campoy, A., Ducharne, A., Cheruy, F., Hourdin, F., Polcher, J., and Dupont,
J. C.: Response of land surface fluxes and precipitation to different soil
bottom hydrological conditions in a general circulation model, J. Geophys.
Res.-Atmos., 118, 10725–10739, https://doi.org/10.1002/jgrd.50627, 2013.
Chen, J. and Kumar, P.: Topographic Influence on the Seasonal and Interannual
Variation of Water and Energy Balance of Basins in North America, J. Climate,
14, 1989–2014, https://doi.org/10.1175/1520-0442(2001)014<1989:tiotsa>2.0.co;2, 2001.
Clark, D. B. and Gedney, N.: Representing the effects of subgrid variability
of soil moisture on runoff generation in a land surface model. J. Geophys.
Res.-Atmos., 113, D10111, https://doi.org/10.1029/2007JD008940, 2008.
Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M.
J., Pryor, M., Rooney, G. G., Essery, R. L. H., Blyth, E., Boucher, O.,
Harding, R. J., Huntingford, C., and Cox, P. M.: The Joint UK Land
Environment Simulator (JULES), model description – Part 2: Carbon fluxes and
vegetation dynamics, Geosci. Model Dev., 4, 701–722,
https://doi.org/10.5194/gmd-4-701-2011, 2011.
Clark, M. P., Fan, Y., Lawrence, D. M., Adam, J. C., Bolster, D., Gochis, D.
J., Hooper, R. P., Kumar, M., Leung, L. R., Mackay, D. S., Maxwell, R. M.,
Shen, C., Swenson, S. C., and Zeng, X.: Improving the representation of
hydrologic processes in Earth System Models, Water Resour. Res., 51,
5929–5956, https://doi.org/10.1002/2015WR017096, 2015.
Cosby, B. J., Hornberger, G. M., Clapp, R. B., and Ginn, T. R.: A Statistical
Exploration of the Relationships of Soil Moisture Characteristics to the
Physical Properties of Soils, Water Resour. Res., 20, 682–690,
https://doi.org/10.1029/WR020i006p00682, 1984.
Cox, P. M., Betts, R. A., Bunton, C. B., Essery, R. L. H., Rowntree, P. R.,
and Smith, J.: The impact of new land surface physics on the GCM simulation
of climate and climate sensitivity, Clim. Dynam., 15, 183–203,
https://doi.org/10.1007/s003820050276, 1999.
Crooks, S., Kay, A., Davies, H., and Bell, V.: From Catchment to National
Scale Rainfall-Runoff Modelling: Demonstration of a Hydrological Modelling
Framework, Hydrology, 1, 63–88, https://doi.org/10.3390/hydrology1010063, 2014.
Davies, H. N. and Bell, V. A.: Assessment of methods for extracting
low-resolution river networks from high-resolution digital data, Hydrolog.
Sci. J., 54, 17–28, https://doi.org/10.1623/hysj.54.1.17, 2009.
Dharssi, I., Vidale, P. L., Verhoef, A., Macpherson, B., Jones, C. D., and
Best, M.: New soil physical properties implemented in the Unified Model at
PS18, Met Office, Exeter, Met Office Technical Report No. 528, 2009.
Fan, Y., Miguez-Macho, G., Weaver, C. P., Walko, R., and Robock, A.:
Incorporating water table dynamics in climate modeling: 1. Water table
observations and equilibrium water table simulations, J. Geophys.
Res.-Atmos., 112, D10125, https://doi.org/10.1029/2006JD008111, 2007.
FAO/IIASA/ISRIC/ISS-CAS/JRC: Harmonized World Soil Database (version 1.2),
FAO, Rome, Italy and IIASA, Laxenburg, Austria, 2012.
Farrant, A. R. and Cooper, A. H.: Karst geohazards in the UK: the use of
digital data for hazard management, Q. J. Eng. Geol. Hydroge., 41, 339–356,
https://doi.org/10.1144/1470-9236/07-201, 2008.
Finney, D. L., Blyth, E., and Ellis, R.: Improved modelling of Siberian river
flow through the use of an alternative frozen soil hydrology scheme in a land
surface model, The Cryosphere, 6, 859–870,
https://doi.org/10.5194/tc-6-859-2012, 2012.
Fuller, R. M., Smith, G. M., Sanderson, J. M., Hill, R. A., and Thomson, A.
G.: The UK Land Cover Map 2000: Construction of a Parcel-Based Vector Map
from Satellite Images, Cartogr. J., 39, 15–25,
https://doi.org/10.1179/caj.2002.39.1.15, 2002.
Gedney, N. and Cox, P. M.: The Sensitivity of Global Climate Model
Simulations to the Representation of Soil Moisture Heterogeneity, J.
Hydrometeorol., 4, 1265–1275,
https://doi.org/10.1175/1525-7541(2003)004<1265:tsogcm>2.0.co;2, 2003.
Gudmundsson, L., Tallaksen, L. M., Stahl, K., Clark, D. B., Dumont, E.,
Hagemann, S., Bertrand, N., Gerten, D., Heinke, J., Hanasaki, N., Voss, F.,
and Koirala, S.: Comparing Large-Scale Hydrological Model Simulations to
Observed Runoff Percentiles in Europe, J. Hydrometeorol., 13, 604–620,
https://doi.org/10.1175/jhm-d-11-083.1, 2012.
Harrison, R. G., Jones, C. D., and Hughes, J. K.: Competing roles of rising
CO2 and climate change in the contemporary European carbon balance,
Biogeosciences, 5, 1–10, https://doi.org/10.5194/bg-5-1-2008, 2008.
Horn, B. K. P.: Hill Shading and the Reflectance Map, P. IEEE, 69, 14–47,
https://doi.org/10.1109/Proc.1981.11918, 1981.
Hough, M. N. and Jones, R. J. A.: The United Kingdom Meteorological Office
rainfall and evaporation calculation system: MORECS version 2.0 – an
overview, Hydrol. Earth Syst. Sci., 1, 227–239,
https://doi.org/10.5194/hess-1-227-1997, 1997.
Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole,
S. J., Fry, M., Morris, D. G., and Dixon, H.: CEH-GEAR: 1 km resolution
daily and monthly areal rainfall estimates for the UK for hydrological and
other applications, Earth Syst. Sci. Data, 7, 143–155,
https://doi.org/10.5194/essd-7-143-2015, 2015.
Largeron, C., Cloke, H., Verhoef, A., Martínez-de la Torre, A., and
Mueller, A.: Impact of the representation of the infiltration on the river
flow during intense rainfall events in Jules, ECMWF, Reading, Technical
Memorandum 821, ECMWF, https://doi.org/10.21957/nkky9s1hs, 2018.
Lewis, H. W., Castillo Sanchez, J. M., Graham, J., Saulter, A., Bornemann,
J., Arnold, A., Fallmann, J., Harris, C., Pearson, D., Ramsdale, S.,
Martínez-de la Torre, A., Bricheno, L., Blyth, E., Bell, V. A., Davies,
H., Marthews, T. R., O'Neill, C., Rumbold, H., O'Dea, E., Brereton, A.,
Guihou, K., Hines, A., Butenschon, M., Dadson, S. J., Palmer, T., Holt, J.,
Reynard, N., Best, M., Edwards, J., and Siddorn, J.: The UKC2 regional
coupled environmental prediction system, Geosci. Model Dev., 11, 1–42,
https://doi.org/10.5194/gmd-11-1-2018, 2018.
Marthews, T. R., Quesada, C. A., Galbraith, D. R., Malhi, Y., Mullins, C. E.,
Hodnett, M. G., and Dharssi, I.: High-resolution hydraulic parameter maps for
surface soils in tropical South America, Geosci. Model Dev., 7, 711–723,
https://doi.org/10.5194/gmd-7-711-2014, 2014.
Marthews, T. R., Dadson, S. J., Lehner, B., Abele, S., and Gedney, N.:
High-resolution global topographic index values for use in large-scale
hydrological modelling, Hydrol. Earth Syst. Sci., 19, 91–104,
https://doi.org/10.5194/hess-19-91-2015, 2015.
Martínez-de la Torre, A., Blyth, E. M., and Robinson, E. L.: Water,
carbon and energy fluxes simulation for Great Britain using the JULES Land
Surface Model and the Climate Hydrology and Ecology research Support System
meteorology dataset (1961–2015) [CHESS-land], NERC Environmental Information
Data Centre, UK, https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096, 2018.
Miguez-Macho, G., Fan, Y., Weaver, C. P., Walko, R., and Robock, A.:
Incorporating water table dynamics in climate modeling: 2. Formulation,
validation, and soil moisture simulation. J. Geophys. Res.-Atmos., 112,
D13108, https://doi.org/10.1029/2006JD008112, 2007.
Mizukami, N., Clark, M. P., Newman, A. J., Wood, A. W., Gutmann, E. D.,
Nijssen, B., Rakovec, O., and Samaniego, L.: Towards seamless large-domain
parameter estimation for hydrologic models, Water Resour. Res., 53,
8020–8040, https://doi.org/10.1002/2017WR020401, 2017.
Moore, R. J.: The probability-distributed principle and runoff production at
point and basin scales, Hydrolog. Sci. J., 30, 273–297,
https://doi.org/10.1080/02626668509490989, 1985.
Moore, R. J.: The PDM rainfall-runoff model, Hydrol. Earth Syst. Sci., 11,
483–499, https://doi.org/10.5194/hess-11-483-2007, 2007.
Morris, D. G. and Flavin, R. W.: A digital terrain model for hydrology, Proc.
4th International Symposium on Spatial Data Handling, 23–27 July,
Zürich, Vol. 1, 250–262, 1990.
Morris, D. G. and Flavin, R. W.: Sub-set of UK 50 m by 50 m hydrological
digital terrain model grids, NERC Institute of Hydrology Wallingford, 1994.
Mueller, A., Dutra, E., Cloke, H., Verhoef, A., Balsamo, G., and
Pappenberger, F.: Water infiltration and redistribution in Land Surface
Models, ECMWF, Reading, Technical Memorandum 791, ECMWF,
https://doi.org/10.21957/ppksejqu9, 2016.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10, 282–290,
https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Niu, G.-Y. and Yang, Z.-L.: The versatile integrator of surface atmospheric
processes: Part 2: evaluation of three topography-based runoff schemes,
Global Planet. Change, 38, 191–208,
https://doi.org/10.1016/S0921-8181(03)00029-8, 2003.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Flanner, M. G., Kluzek, E.,
Lawrence, P. J., Levis, S., Swenson, S. C., Thornton, P. E., Dai, A., Decker,
M., Dickinson, R., Feddema, J., Heald, C. L., Hoffman, F., Lamarque, J.-F.,
Mahowald, N., Niu, G.-Y., Qian, T., Randerson, J., Running, S., Sakaguchi,
K., Slater, A., Stöckli, R., Wang, A., Yang, Z.-L., Zeng, X., and Zeng,
X.: Technical Description of version 4.0 of the Community Land Model (CLM),
NCAR, Boulder, Colorado, Technical Note NCAR/TN-478+STR,
https://doi.org/10.5065/D6FB50WZ, 2010.
Papadimitriou, L. V., Koutroulis, A. G., Grillakis, M. G., and Tsanis, I. K.:
High-end climate change impact on European runoff and low flows – exploring
the effects of forcing biases, Hydrol. Earth Syst. Sci., 20, 1785–1808,
https://doi.org/10.5194/hess-20-1785-2016, 2016.
Papadimitriou, L. V., Koutroulis, A. G., Grillakis, M. G., and Tsanis, I. K.:
The effect of GCM biases on global runoff simulations of a land surface
model, Hydrol. Earth Syst. Sci., 21, 4379–4401,
https://doi.org/10.5194/hess-21-4379-2017, 2017.
Paz, A. R., Collischonn, W., and Lopes da Silveira, A. L.: Improvements in
large-scale drainage networks derived from digital elevation models, Water
Resour. Res., 42, W08502, https://doi.org/10.1029/2005WR004544, 2006.
Prudhomme, C., Wilby, R. L., Crooks, S., Kay, A. L., and Reynard, N. S.:
Scenario-neutral approach to climate change impact studies: Application to
flood risk, J. Hydrol., 390, 198–209, https://doi.org/10.1016/j.jhydrol.2010.06.043,
2010.
Rahman, M. and Rosolem, R.: Towards a simple representation of chalk
hydrology in land surface modelling, Hydrol. Earth Syst. Sci., 21, 459–471,
https://doi.org/10.5194/hess-21-459-2017, 2017.
Robinson, E. L., Blyth, E., Clark, D. B., Comyn-Platt, E., Finch, J., and
Rudd, A. C.: Climate hydrology and ecology research support system
meteorology dataset for Great Britain (1961–2015) [CHESS-met] v1.2, NERC
Environmental Information Data Centre, UK,
https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900, 2017a.
Robinson, E. L., Blyth, E. M., Clark, D. B., Finch, J., and Rudd, A. C.:
Trends in atmospheric evaporative demand in Great Britain using
high-resolution meteorological data, Hydrol. Earth Syst. Sci., 21,
1189–1224, https://doi.org/10.5194/hess-21-1189-2017, 2017b.
Schellekens, J., Dutra, E., Martínez-de la Torre, A., Balsamo, G., van
Dijk, A., Sperna Weiland, F., Minvielle, M., Calvet, J.-C., Decharme, B.,
Eisner, S., Fink, G., Flörke, M., Peßenteiner, S., van Beek, R.,
Polcher, J., Beck, H., Orth, R., Calton, B., Burke, S., Dorigo, W., and
Weedon, G. P.: A global water resources ensemble of hydrological models: the
eartH2Observe Tier-1 dataset, Earth Syst. Sci. Data, 9, 389–413,
https://doi.org/10.5194/essd-9-389-2017, 2017.
Tang, Y., Lean, H. W., and Bornemann, J.: The benefits of the Met Office
variable resolution NWP model for forecasting convection, Meteorol. Appl.,
20, 417–426, https://doi.org/10.1002/met.1300, 2013.
Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., and Keller, V. D. J.:
Gridded estimates of daily and monthly areal rainfall for the United Kingdom
(1890–2012) [CEH-GEAR], NERC Environmental Information Data Centre, UK,
https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e, 2014.
Thompson, N., Barrie, I. A., Ayles, M., and Meteorological, O.: The
Meteorological Office rainfall and evaporation calculation system: MORECS
(July 1981), Meteorological Office, London, 1981.
Tijdeman, E., Hannaford, J., and Stahl, K.: Human influences on streamflow
drought characteristics in England and Wales, Hydrol. Earth Syst. Sci., 22,
1051–1064, https://doi.org/10.5194/hess-22-1051-2018, 2018.
Ukkola, A. M., Kauwe, M. G. D., Pitman, A. J., Best, M. J., Abramowitz, G.,
Haverd, V., Decker, M., and Haughton, N.: Land surface models systematically
overestimate the intensity, duration and magnitude of seasonal-scale
evaporative droughts, Environ. Res. Lett., 11, 104012,
https://doi.org/10.1088/1748-9326/11/10/104012, 2016.
Van den Hoof, C., Vidale, P. L., Verhoef, A., and Vincke, C.: Improved
evaporative flux partitioning and carbon flux in the land surface model
JULES: Impact on the simulation of land surface processes in temperate
Europe, Agr. Forest Meteorol., 181, 108–124,
https://doi.org/10.1016/j.agrformet.2013.07.011, 2013.
Van Genuchten, M. T.: A Closed-form Equation for Predicting the Hydraulic
Conductivity of Unsaturated Soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980.
Wagener, T. and Wheater, H. S.: Parameter estimation and regionalization for
continuous rainfall-runoff models including uncertainty, J. Hydrol., 320,
132–154, https://doi.org/10.1016/j.jhydrol.2005.07.015, 2006.
Walko, R. L., Band, L. E., Baron, J., Kittel, T. G. F., Lammers, R., Lee, T.
J., Ojima, D., Pielke, R. A., Taylor, C., Tague, C., Tremback, C.J. and
Vidale, P.L.: Coupled Atmosphere–Biophysics–Hydrology Models for
Environmental Modeling, J. Appl. Meteorol., 39, 931–944,
https://doi.org/10.1175/1520-0450(2000)039<0931:cabhmf>2.0.co;2, 2000.
Weedon, G. P., Prudhomme, C., Crooks, S., Ellis, R. J., Folwell, S. S., and
Best, M. J.: Evaluating the Performance of Hydrological Models via
Cross-Spectral Analysis: Case Study of the Thames Basin, United Kingdom, J.
Hydrometeorol., 16, 214–231, https://doi.org/10.1175/jhm-d-14-0021.1, 2015.
Williams, K. and Clark, D. B.: Disaggregation of daily data in JULES, Met
Office, Exeter, 26 pp., Hadley Centre Technical Note 96, 2014.
Wösten, J. H. M., Lilly, A., Nemes, A., and Le Bas, C.: Development and
use of a database of hydraulic properties of European soils, Geoderma, 90,
169–185, https://doi.org/10.1016/S0016-7061(98)00132-3, 1999.
Search articles
Download
Short summary
Land–surface interactions with the atmosphere are key for weather and climate modelling studies, both in research and in the operational systems that provide scientific tools for decision makers. Regional assessments will be influenced by the characteristics of the land. We improved the representation of river flows in Great Britain by including a dependency on the terrain slope. This development will be reflected not only in river flows, but in the whole water cycle represented by the model.
Land–surface interactions with the atmosphere are key for weather and climate modelling...
Geoscientific Model Development
An interactive open-access journal of the European Geosciences Union
