Results 111 to 120 of about 4,971,021 (293)
Ocean control of the breeding regime of the sooty tern in the southwest Indian Ocean [PDF]
Food availability, which is often seasonal, is regarded as a key factor in the breeding success of seabirds. In oceanic tropical areas, the resources are mostly patchy and ephemeral at the surface, and the seasonality is less marked than at higher ...
Jaquemet, S. +4 more
core +1 more source
Using microwave imager observations to improve the ocean temperature in a coupled NWP system
A recent upgrade to the ECMWF IFS has implemented outer‐loop coupling between the atmosphere and the ocean. This work uses this method to pass ocean skin temperature estimates derived from satellite‐borne microwave imagers to the ocean data assimilation system; the updated ocean state is then passed back to the atmospheric system.
Tracy Scanlon +4 more
wiley +1 more source
On the diurnal ranges of Sea Surface Temperature (SST) in the North Indian Ocean [PDF]
This paper describes the variability in the diurnal range of SST in the north Indian Ocean using in situ measurements and tests the suitability of simple regression models in estimating the diurnal range.
Almeida, A. M. +5 more
core +2 more sources
During the day, there is composite mean cold advection in the boundary layer on warm days (WDs), hot days (HDs) and heatwaves (HWs). There is weaker surface‐sensible heating on HDs and HWs. A nocturnal jet advects warm air on HDs and HWs. There is a strong and slow‐moving upper‐level anticyclone on HWs.
Qinuo Huang +3 more
wiley +1 more source
ACCESS‐S2 performs better in predicting longer time‐scale and slower moving waves (MJO and equatorial Rossby waves), while GraphCast performs better in predicting shorter and faster moving waves (Kelvin and mixed Rossby–gravity waves). However, both models systematically underestimate precipitation amplitude across all wave types, especially over the ...
Beata Latos +7 more
wiley +1 more source
We propose a unified statistical method based on deep learning and heatmap analysis to quantify the relative contributions of the global oceans to El Niño–Southern Oscillation (ENSO) predictability. By incorporating subsurface signals in the Indian Ocean
Tang Li +3 more
doaj +1 more source
Synoptic and large‐scale drivers of extreme precipitation events in the Himalayas
Months associated with maximum frequency of extreme precipitation events (EPEs). 6102 extreme precipitation days (i.e., exceeding 99th percentile for daily precipitation) occurred across the Karakoram, Western Himalayas (WH), Central Himalayas (CH) and Eastern Himalayas (EH) during 1979 to 2023.
Priya Bharati +2 more
wiley +1 more source
This study evaluates the subseasonal predictive skill of tropical–extratropical cloud bands across four subtropical convergence zones in ECMWF reforecasts (2003–2022). Results show that, while exact daily predictions are limited to one week, accounting for temporal displacement improves forecast skill significantly, revealing a systematic early onset ...
Romain Pilon, Daniela I.V. Domeisen
wiley +1 more source
Carbon dioxide and nitrous oxide in the North Indian Ocean [PDF]
The understanding of biogeochemical cycling of carbon dioxide and nitrous oxide in the oceans is essential for predicting the fate of antbropogenically emitted components.
Narvekar, P. V. +5 more
core +1 more source
Pola Arus Permukaan Pada Saat Kejadian Indian Ocean Dipole Di Perairan Samudera Hindia Tropis
Indian Ocean Dipole in the Indian Ocean is a natural phenomenon that has interannual cycles. This research was conducted to understand the pattern of ocean surface currents in the waters of the Indian Ocean during Indian Ocean Dipole events.
MArtono
core

