Results 231 to 240 of about 5,074,442 (338)

Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi   +5 more
wiley   +1 more source

Global daily 9 km remotely sensed soil moisture (2015-2025) with microwave radiative transfer-guided learning. [PDF]

open access: yesSci Data
Feng S   +11 more
europepmc   +1 more source

Satellite radiance observation error inflation and spatial thinning: Reconciling idealized theory with near‐operational applications

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard   +3 more
wiley   +1 more source

Inter-Calibration and Limb Correction of FY-3D/E MWTS for Long-Term Gridded Microwave Brightness Temperature Dataset [PDF]

open access: gold
Xinlu Xia   +8 more
openalex   +1 more source

Model‐resolution impacts on all‐sky infrared radiance simulation and cloud‐dependent observation errors over Indonesia

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Numerical weather prediction over Indonesia is particularly challenging, because convection evolves rapidly and is modulated strongly by land–sea interactions across the maritime continent. To constrain forecasts better, there is substantial potential in assimilating all‐sky infrared observations, provided that the associated observation‐error ...
Miranti I. Hastuti   +4 more
wiley   +1 more source

Improving drought forecasting to support decision‐making

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
New satellite observations are integrated into a land surface model via data assimilation using innovative artificial intelligence methods. This enhances our comprehension of the effects of drought on forests and agricultural land on global and regional scales, enabling us to monitor drought‐related natural disasters and characterise regional exposure ...
Jean‐Christophe Calvet   +7 more
wiley   +1 more source

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