Results 61 to 70 of about 17,060 (261)
Variability of Satellite Sea Surface Salinity Under Rainfall [PDF]
Two L-Band (1.4 GHz) microwave radiometer missions, the Soil Moisture and Ocean Salinity (SMOS) and the Soil Moisture Active and Passive (SMAP) missions, currently provide salinity measurements in the first centimeter below the sea surface. At this depth, salinity variability at hourly temporal scales is dominated by the impact of precipitation.
Supply, Alexandre +4 more
openaire +4 more sources
Daily Rainfall Patterns During Storm “Daniel” Based on Different Satellite Data
Extreme rainfall from a long-lived weather system called storm “Daniel” occurred from 4th to 11th September 2023 over the central and eastern Mediterranean, leading to many devastating flood events mainly in central Greece and the western coastal parts ...
Stavros Kolios, Niki Papavasileiou
doaj +1 more source
O2 enhances charge‐transfer in n‐type organic donor–acceptor charge‐transfer complexes (CTCs) via physisorption‐mediated trap passivation. By suppressing recombination and promoting long‐lived delocalized charge carriers, O2 improves electron transport and conductivity without doping.
Kirill K. Gubanov +16 more
wiley +1 more source
This study was aimed at ensemble rainfall–runoff modeling by Soil and Water Analysis Tool (SWAT), the Hydrologic Engineering Center's Hydraulic Modeling System, and Hydrologiska Byråns Vattenbalansavdelning of Gilgel-Abay watershed, Blue Nile basin ...
Tagesse Gichamo +3 more
doaj +1 more source
Remote sensing allows for the continuous and repetitive measurement of rainfall values. Satellite rainfall products such as Tropical Rainfall Measurement Mission (TRMM) 3B42 and the Hydroestimator (Hydroe) can be potential sources of data for hydrologic ...
João Bosco Coura dos Reis +2 more
doaj +1 more source
Rainfall Estimation from Tropospheric Attenuation Affecting Satellite Links [PDF]
A novel methodology for estimating rainfall rate from satellite signals is presented. The proposed inversion algorithm yields rain rate estimates by making opportunistic use of the downlink signal and exploiting local ancillary meteorological information (0 °C isotherm height and monthly convectivity index), which can be extracted on a Global basis ...
Giro R. A., Luini L., Riva C. G.
openaire +3 more sources
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
In many developing regions and archipelagic nations, the spatial coverage of ground-based rainfall stations (GSR), considered the most reliable source of precipitation data, is often inadequate.
Hadi Kardhana +7 more
doaj +1 more source
ABSTRACT The rapid global expansion of photovoltaic (PV) solar facilities, now comprising nearly 80% of the recent and projected growth of renewable electricity, represents one of the most significant land‐use changes of the 21st century. While PV facilities are critical for decarbonising energy systems, their large spatial footprint and infrastructure
Tom Armstrong +4 more
wiley +1 more source
Correcting Position Error in Precipitation Data Using Image Morphing
Rainfall estimates based on satellite data are subject to errors in the position of the rainfall events in addition to errors in their intensity. This is especially true for localized rainfall events such as the convective rainstorms that occur during ...
Camille Le Coz +4 more
doaj +1 more source

