Results 121 to 130 of about 16,111 (291)

Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China

Remote Sensing
Temperature and precipitation are crucial indicators for investigating climate changes, necessitating precise measurements for rigorous scientific inquiry.
Liancheng Zhang, Guli Jiapaer, Tao Yu, Jeanine Umuhoza, Haiyang Tu, Bojian Chen, Hongwu Liang, Kaixiong Lin, Tongwei Ju, Philippe De Maeyer, Tim Van de Voorde   +10 more
doaj   +1 more source

Towards improving Arctic mixed‐phase cloud representation in the ECMWF model using MOSAiC observations

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte, Richard Forbes, Linus Magnusson, Vera Schemann, Jonathan Day, Susanne Crewell   +5 more
wiley   +1 more source

Systematic under-representation of ERA5 10 m wind speeds in the ERA5-land product undermines wind energy studies [PDF]

Applied Energy
Since its release in 2021, the global surface wind climatology data available in the ERA5-Land product have seen widespread application in studies on wind energy potential and wind farm deployment around the world, because the wind data are provided at a higher spatial resolution than its original source, the ERA5 reanalysis.
openaire   +1 more source

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie, Yue Ying, Richard Davy, Laurent Bertino   +3 more
wiley   +1 more source

WIMBY D1.1 Bias correction ERA5 ratios

Bias correction ratios (U GWA/U ERA5) considering the microscale influences on the wind speed as computed by the Global Wind Atlas (GWA). Two datasets are provided for two versions of the GWA: GWA2 and GWA3.
Andrea Hahmann (Technical University of Denmark)
core   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

The relationship between equatorial wave interaction and heavy rainfall in Southeast Asia

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study examines the statistical relationship between co‐occurring equatorial waves and heavy rainfall in Southeast Asia. Heavy rainfall is more closely related to combined wave activity than to individual waves in many regions of Southeast Asia. The figure shows GPM–IMERG rainfall (shading) and ERA5 850‐hPa winds (vectors) composited on days when ...
Samantha Ferrett, John Methven, Oscar Martinez‐Alvarado, Xiangbo Feng, Thomas H. A. Frame, Christopher E. Holloway, Steven J. Woolnough, Gui‐Ying Yang   +7 more
wiley   +1 more source

Observations and numerical simulations of a valley‐exit wind in the Alpine Bolzano basin

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The evolution and spreading of the nocturnal valley‐exit wind flowing from the Isarco Valley into the Bolzano basin, in the Italian Alps, are found to be influenced by the basin temperature stratification. Measurements and high‐resolution simulations show that a cold‐air pool favors an upward trajectory of the flow at the exit of the valley.
Federica Gucci, Andrea Zonato, Marco Falocchi, Dino Zardi, Lorenzo Giovannini   +4 more
wiley   +1 more source

The GNSS PWV retrieval using non-observation meteorological parameters based on ERA5 and its relation with precipitation

Geodesy and Geodynamics
The pressure and temperature significantly influence precipitable water vapor (PWV) retrieval. Global Navigation Satellite System (GNSS) PWV retrieval is limited because the GNSS stations lack meteorological sensors.
Weifeng Yang, Zhiping Chen, Kaiyun Lv, Pengfei Xia, Tieding Lu   +4 more
doaj   +1 more source

Quantification of the spatio-temporal variability of ozone damage on winter wheat productivity in northern Italy using ERA5 reanalysis data [PDF]

LAUREA MAGISTRALEL’ozono troposferico è un potente ossidante, che influisce negativamente sulla vegetazione provocando uno stress ossidativo fisiologico a livello cellulare, riducendo la crescita delle piante e, ad alte concentrazioni, inducendo ...
BARZON, LORENZO
core