ERA5-Land selected indicators daily aggregates for the Latin America region, 2009
Raphael de Freitas Saldanha
openalex +1 more source
My ERA5 Journey: From API-to-ARCO
Abstract: Although some ERA5 data is already accessible from object storage, much is not, and must be obtained via their API. This talk chronicles my journey to use the API to access ERA5-Land data (snow depth and soil moisture) and create a cloud-optimized dataset using Dask, Xarray, Xbitinfo, Kerchunk, and Intake.
openaire +1 more source
A pilot variational coupled reanalysis based on the CESAM climate model
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl +6 more
wiley +1 more source
ERA5-Land selected indicators daily aggregates for the Latin America region, 2017
Raphael de Freitas Saldanha
openalex +1 more source
Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region [PDF]
Nazanin Asadi +4 more
openalex +1 more source
The role of soil moisture in the inland penetration of Indian monsoon low‐pressure systems
We use the Advanced Weather Research and Forecasting model to examine the role of soil moisture in the inland penetration of Indian monsoon low‐pressure systems (LPSs). We find that LPSs penetrate deeply into India despite a dry land surface; however, their inland penetration is adversely affected when there is a reduction in the total surface heat ...
Akshay Deoras +2 more
wiley +1 more source
ERA5-Land selected indicators daily aggregates for the Latin America region, 2018
Raphael de Freitas Saldanha
openalex +1 more source
Analysis of the accuracy of using ERA5 reanalysis data for diagnosis of evaporation ducts in the East China Sea [PDF]
Zhijin Qiu +7 more
openalex +1 more source
Assessing the impact of model biases on subseasonal forecast skill
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley +1 more source
Temperature and precipitation are crucial indicators for investigating climate changes, necessitating precise measurements for rigorous scientific inquiry.
Liancheng Zhang +10 more
doaj +1 more source

