Results 131 to 140 of about 105,708 (293)

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette   +3 more
wiley   +1 more source

Forecast verification using information and noise

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Verification of weather forecasts is usually expressed in terms of total error metrics. This is useful for end users of the forecasts but does not allow evaluation of the intrinsic information content of the forecasts. To overcome this limitation, we propose a new total error decomposition into information and noise error measures, connect it to ...
Massimo Bonavita, Alan J. Geer
wiley   +1 more source

Assimilation of solar‐induced fluorescence satellite observations in the European Centre for Medium‐Range Weather Forecasts integrated forecast system

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This work demonstrates the potential of the assimilation of satellite solar‐induced fluorescence (SIF) retrievals at eight‐day and 0.1° resolutions in the integrated forecast system (IFS), developed at the European Centre for Medium‐Range Weather Forecasts (ECMWF), at global scale, to provide a more realistic representation of the vegetation temporal ...
Sébastien Garrigues   +12 more
wiley   +1 more source

Using a causal effect network approach to quantify the impact of ENSO teleconnections on summer monsoon precipitation over the Himalayas and key regional circulations

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We quantified the causal effect (CE) of linkages between four monthly climate indices ENSO, SMHP, RWC, and MHC for 1940–2022 with a time lag of one month. The results show CE values from (1) ENSO to SMHP of −0.33$$ -0.33 $$ to −0.44$$ -0.44 $$ (i.e., a one standard deviation (SD) increase in ENSO causes a decrease in SMHP of −0.33$$ -0.33 $$ to −0.44$$
Grzegorz Muszynski   +5 more
wiley   +1 more source

The role of water vapor in climate. A strategic research plan for the proposed GEWEX water vapor project (GVaP) [PDF]

open access: yes
The proposed GEWEX Water Vapor Project (GVaP) addresses fundamental deficiencies in the present understanding of moist atmospheric processes and the role of water vapor in the global hydrologic cycle and climate.
Melfi, S. Harvey, Starr, D. OC.
core   +1 more source

Exceptionally poor and good medium‐range forecasts of the large‐scale circulation over Europe in ERA5 reforecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study investigates year‐round exceptionally poor and good day‐6 forecasts of the 500‐hPa geopotential height field over Europe using 45 years of ERA5 reforecasts and applies a weather regime perspective to analyse large‐scale pattern evolution and regime transitions.
Seraphine Hauser   +4 more
wiley   +1 more source

Can we predict the extreme? Assessing the skill of seasonal forecasts in capturing the 2024 European heatwave

open access: yesEnvironmental Research Letters
Eastern Europe experienced a pronounced warming trend in the summer of 2024, with average maximum temperature anomalies reaching 3.35  ^∘ C in June and 3.73  ^∘ C in July, and minimum temperature anomalies averaging 2.17  ^∘ C in June and 2.60  ^∘ C in ...
Konstantia Tolika   +4 more
doaj   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Using 3D-Var Data Assimilation for Improving the Accuracy of Initial Condition of Weather Research and Forecasting (WRF) Model in Java Region (Case Study : 23 January 2015)

open access: yesForum Geografi, 2016
Weather Research and Forecasting (WRF) is a numerical weather prediction model developed by various parties due to its open source, but the WRF has the disadvantage of low accuracy in weather prediction. One reason of low accuracy  of model is inaccuracy
Novvria Sagita   +4 more
doaj  

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