Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-2859-2022
https://doi.org/10.5194/gmd-15-2859-2022
Model evaluation paper
 | 
07 Apr 2022
Model evaluation paper |  | 07 Apr 2022

Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1

Santos J. González-Rojí, Martina Messmer, Christoph C. Raible, and Thomas F. Stocker

Related authors

Temporal Characteristics and Atmospheric Drivers of Onsets and Terminations of Soil Moisture Droughts in Europe
Woon Mi Kim, Santos J. González-Rojí, Isla R. Simpson, and Daniel Kennedy
EGUsphere, https://doi.org/10.5194/egusphere-2024-252,https://doi.org/10.5194/egusphere-2024-252, 2024
Short summary
Extratropical circulation associated with Mediterranean droughts during the Last Millennium in CMIP5 simulations
Woon Mi Kim, Santos J. González-Rojí, and Christoph C. Raible
Clim. Past, 19, 2511–2533, https://doi.org/10.5194/cp-19-2511-2023,https://doi.org/10.5194/cp-19-2511-2023, 2023
Short summary
Changes in the simulation of atmospheric instability over the Iberian Peninsula due to the use of 3DVAR data assimilation
Santos J. González-Rojí, Sheila Carreno-Madinabeitia, Jon Sáenz, and Gabriel Ibarra-Berastegi
Hydrol. Earth Syst. Sci., 25, 3471–3492, https://doi.org/10.5194/hess-25-3471-2021,https://doi.org/10.5194/hess-25-3471-2021, 2021
Short summary
Sensitivity of precipitation and temperature over the Mount Kenya area to physics parameterization options in a high-resolution model simulation performed with WRFV3.8.1
Martina Messmer, Santos J. González-Rojí, Christoph C. Raible, and Thomas F. Stocker
Geosci. Model Dev., 14, 2691–2711, https://doi.org/10.5194/gmd-14-2691-2021,https://doi.org/10.5194/gmd-14-2691-2021, 2021
Short summary

Related subject area

Atmospheric sciences
MEXPLORER 1.0.0 – a mechanism explorer for analysis and visualization of chemical reaction pathways based on graph theory
Rolf Sander
Geosci. Model Dev., 17, 2419–2425, https://doi.org/10.5194/gmd-17-2419-2024,https://doi.org/10.5194/gmd-17-2419-2024, 2024
Short summary
Advances and prospects of deep learning for medium-range extreme weather forecasting
Leonardo Olivetti and Gabriele Messori
Geosci. Model Dev., 17, 2347–2358, https://doi.org/10.5194/gmd-17-2347-2024,https://doi.org/10.5194/gmd-17-2347-2024, 2024
Short summary
An overview of the Western United States Dynamically Downscaled Dataset (WUS-D3)
Stefan Rahimi, Lei Huang, Jesse Norris, Alex Hall, Naomi Goldenson, Will Krantz, Benjamin Bass, Chad Thackeray, Henry Lin, Di Chen, Eli Dennis, Ethan Collins, Zachary J. Lebo, Emily Slinskey, Sara Graves, Surabhi Biyani, Bowen Wang, Stephen Cropper, and the UCLA Center for Climate Science Team
Geosci. Model Dev., 17, 2265–2286, https://doi.org/10.5194/gmd-17-2265-2024,https://doi.org/10.5194/gmd-17-2265-2024, 2024
Short summary
cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands
Romain Pilon and Daniela I. V. Domeisen
Geosci. Model Dev., 17, 2247–2264, https://doi.org/10.5194/gmd-17-2247-2024,https://doi.org/10.5194/gmd-17-2247-2024, 2024
Short summary
PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations
Salvatore Larosa, Domenico Cimini, Donatello Gallucci, Saverio Teodosio Nilo, and Filomena Romano
Geosci. Model Dev., 17, 2053–2076, https://doi.org/10.5194/gmd-17-2053-2024,https://doi.org/10.5194/gmd-17-2053-2024, 2024
Short summary

Cited articles

Angevine, W. M., Bazile, E., Legain, D., and Pino, D.: Land surface spinup for episodic modeling, Atmos. Chem. Phys., 14, 8165–8172, https://doi.org/10.5194/acp-14-8165-2014, 2014. a
Aybar, C., Fernández, C., Huerta, A., Lavado, W., Vega, F., and Felipe-Obando, O.: Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day, Hydrol. Sci. J., 65, 770–785, https://doi.org/10.1080/02626667.2019.1649411, 2020. a, b, c, d
Balmaceda-Huarte, R., Olmo, M. E., Bettolli, M. L., and Poggi, M. M.: Evaluation of multiple reanalyses in reproducing the spatio-temporal variability of temperature and precipitation indices over southern South America, Int. J. Climatol., 41, 5572–5595, https://doi.org/10.1002/joc.7142, 2021. a
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.: Present and future K/”oppen-Geiger climate classification maps at 1-km resolution, Sci. Data, 5, 180214, https://doi.org/10.1038/sdata.2018.214, 2018. a
Brune, S., Buschow, S., and Friederichs, P.: Observations and high-resolution simulations of convective precipitation organization over the tropical Atlantic, Q. J. Roy. Meteor. Soc., 146, 1545–1563, https://doi.org/10.1002/qj.3751, 2020. a
Download
Short summary
Different configurations of physics parameterizations of a regional climate model are tested over southern Peru at fine resolution. The most challenging regions compared to observational data are the slopes of the Andes. Model configurations for Europe and East Africa are not perfectly suitable for southern Peru. The experiment with the Stony Brook University microphysics scheme and the Grell–Freitas cumulus parameterization provides the most accurate results over Madre de Dios.