Results 121 to 130 of about 4,394 (252)
Abstract Climate models exhibit significant biases in simulating present‐day tropical Pacific sea surface temperature (SST) patterns, particularly the zonal SST gradient, which may contribute to uncertainties in precipitation projections over mid‐latitude populated regions.
Liping Wang, Kevin M. Grise
wiley +1 more source
Future Atmospheric Rivers in Antarctica: Characteristics and Impacts With the IPSL Model
Abstract Atmospheric rivers (ARs) are narrow corridors of intense water vapor transport that have significant impacts on the Antarctic surface mass balance (SMB) through both snow accumulation and surface melt due to rain and heat. To estimate their impacts on future SMB, we study Antarctic ARs in an ensemble of 21st‐century simulations of the IPSL‐CM6
L. Barthélemy +4 more
wiley +1 more source
Global Forecast Error Correlation. Part 1: Isobaric Wind and Geopotential [PDF]
H. Jean Thiébaux +2 more
openalex +1 more source
Abstract African easterly waves (AEWs) are an important precursor or “seed” for Atlantic tropical cyclones (TCs), with 60%–80% of major hurricanes observed to originate from AEWs. However, climate model simulations indicate that AEWs are not necessary to maintain annual Atlantic TC frequency.
Ronald H. Kouski Jr. +3 more
wiley +1 more source
Abstract In mid‐winter 2024, extraordinary stratospheric warming occurred over the sub‐Antarctic region with two distinctive warming maxima in mid‐July to early August, followed by record negative anomalies in the southern annular mode (SAM) during late July to early August.
Eun‐Pa Lim +9 more
wiley +1 more source
Operational Convection‐Permitting COSMO/ICON Ensemble Predictions at Observation Sites (CIENS)
Map of synoptic stations in Germany for which ensemble forecasts and observations are provided in the CIENS dataset. Colours represent the station altitude in metres. ABSTRACT We present the CIENS dataset, which contains ensemble weather forecasts from the operational convection‐permitting numerical weather prediction model of the German Weather ...
Sebastian Lerch +6 more
wiley +1 more source
Lightweight spatiotemporal network with channel attention and multi‐branch fusion for short‐term typhoon wind field prediction. ABSTRACT Accurate short‐term prediction of typhoon 10‐m wind fields is crucial for early warning and risk reduction. We propose a lightweight spatiotemporal deep‐learning model that couples a convolutional neural network (CNN)
Jie Cui, Jun Liu, Yan Liu
wiley +1 more source
A STUDY OF THE COLLISIONAL EVOLUTION OF ORBITAL DEBRIS IN GEOPOTENTIAL WELLS AND GEO DISPOSAL ORBITS
Christina R Diaz
openalex +2 more sources
The Daily Pattern at 500 hPa Geopotential Heights and Its Association with Heavy Rainfall over Iraq
Mohammed Abdul Raheem Jabbar +1 more
openalex +2 more sources

