Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment

Kurzrock, Frederik; Nguyen, Hannah; Sauer, Jerome; Chane Ming, Fabrice; Cros, Sylvain; Smith Jr., William L.; Minnis, Patrick; Palikonda, Rabindra; Jones, Thomas A.; Lallemand, Caroline; Linguet, Laurent; Lajoie, Gilles

doi:https://doi.org/10.5194/gmd-12-3939-2019

Articles | Volume 12, issue 9

https://doi.org/10.5194/gmd-12-3939-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-3939-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 9

Model evaluation paper

|

06 Sep 2019

Model evaluation paper |

| 06 Sep 2019

Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment

Frederik Kurzrock, Hannah Nguyen, Jerome Sauer, Fabrice Chane Ming, Sylvain Cros, William L. Smith Jr., Patrick Minnis, Rabindra Palikonda, Thomas A. Jones, Caroline Lallemand, Laurent Linguet, and Gilles Lajoie

Model code and software

WRF-DART namelists for GMDD paper Kurzrock et al., 2019 Frederik Kurzrock https://doi.org/10.5281/zenodo.3354949

Short summary

This study assesses the assimilation of cloud water path retrievals in three phases (ice, supercooled, and liquid), derived from Meteosat-8, into a limited-area model using an ensemble Kalman filter (EnKF). The ability of the method to improve cloud analyses in the southwest Indian Ocean and short-term forecasts of global horizontal irradiance on Réunion Island is demonstrated using the Data Assimilation Research Testbed (DART) and the Weather Research and Forecasting (WRF) model.