Results 171 to 180 of about 16,111 (291)

High-Resolution Wave Climate Data under Future Climate Scenarios along the European Atlantic Coast. [PDF]

Sci Data
Arguilé-Pérez B, Costoya X, Ribeiro AS, deCastro M, Carracedo P, Gómez-Gesteira M.   +5 more
europepmc   +1 more source

Ensembling Crop Models and Multi Criteria Analysis to Unlock Bioenergy From Marginal Lands: A Scenario‐Based Assessment From Italy

GCB Bioenergy, Volume 18, Issue 8, August 2026.
Multi‐Criteria Analysis to identify marginal land on which three crops (Safflower, castor bean, and Ethiopian mustard) were simulated with two process‐based models (DSSAT, ARMOSA) under two different agronomical management minimums (rainfed and no fertilization) and low input (half‐water and half‐nitrogen).
Claudio Russo, Valerio Cirillo, Nausicaa Pollaro, Stefania Pindozzi, Elena Cervelli, Roberto Rea, Giovanni Pica, Andrea Chiodini, Alessia Perego, Fabio Terribile, Albino Maggio, Davide Cammarano   +11 more
wiley   +1 more source

Regional drying over the Western U.S. driven by enhanced atmospheric subsidence amid global moistening from 1980 to 2020. [PDF]

Nat Commun
Ding Q, Shaw T, Wang H, Baxter I, Zhu J.
europepmc   +1 more source

MAYDANAK OBSERVATORIYASIDA ERA5 MA‘LUMOTLARI ASOSIDA INTEGRAL SUV MIQDORINI BAHOLASH

This study investigates the annual and seasonal variations of Integrated Water Vapor (IWV) over the Maidanak Astronomical Observatory during 2016–2018 using ERA5 reanalysis data.
Ikrom XURRAMOV, Yusufjon TILLAYEV
core  

A Joint Pest Management Model for the Bean Fly Complex, Ophiomyia spencerella and Ophiomyia phaseoli (Diptera: Agromyzidae)

Journal of Applied Entomology, Volume 150, Issue 7, Page 882-889, August 2026.
ABSTRACT The common bean is an important crop in Eastern Africa for smallholder farmers, yet yields are often reduced due to pests, particularly Ophiomyia spencerella and Ophiomyia phaseoli. These species are partially sympatric and commonly known as the bean fly. Here, based on the similarity of their life history and developmental biology, field data
Elizabeth A. Finch, Suzy V. Wood, Bryony Taylor, Stacey Odunga, Patrick Kalama, MaryLucy Oronje, Duncan Chacha, Norbert Maczey, Tim Beale, Alyssa Lowry, Sean T. Murphy   +10 more
wiley   +1 more source

Clearing the noise to predict the rhythm of the North Atlantic climate. [PDF]

Sci Adv
Alkama R, Swindedouw D, Mignot J, Gastineau G, Ogée J.   +4 more
europepmc   +1 more source

Observations of Offshore Low‐Level Jets Off the U.S. East Coast Reveal Systematic Biases in ERA5 and HRRR

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Low‐level jets (LLJs)—wind speed maxima typically occurring a few hundred meters above the surface—are common off the U.S. East Coast and influence many atmospheric processes with societal importance, including cloud formation, aviation safety, and search‐and‐rescue.
N. Bodini, S. Letizia, B. Adler, D. D. Turner, R. Krishnamurthy, A. Scholbrock, D. Jager, E. Cinquino, A. Kirincich   +8 more
wiley   +1 more source

Spatial Assessment of Livestock Heat Stress in Thessaly Region of Greece Using ERA5-Land Reanalysis and Temperature-Humidity Index. [PDF]

Vet Sci
Papatsiros VG, Chourdakis E, Tsegas G, Fotos L, Papakonstantinou GI, Michailidou AV, Gougoulis D, Dimoveli K, Stampinas EG, Meletis E, Valasi I, Vlachokostas C.   +11 more
europepmc   +1 more source

A Sea Ice Entrapment Event in the Southern Chukchi Sea: Analysis and Prediction

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Amplified Arctic warming is reducing sea ice cover, which is driving an increase in geopolitical interest in the region as it offers the possibility of reducing shipping times between Asia, Europe, and eastern North America, at the risk of increased ice hazards. Here, we examine the case of the Norseman II research ship that was trapped by sea
G. W. K. Moore, Michael Steele, Jinlun Zhang, Axel J. Schweiger, Thomas J. Ballinger, Irina Trukhanova, Michael Lawson, William S. Beatty, Scott Hameister   +8 more
wiley   +1 more source

A machine learning-coupled APSIM model pipeline for projected oil palm yield in Surat Thani, Thailand. [PDF]

PLoS One
Jantaraprasit N, Promchote P, Wang SS, Daengnui S, Motlagh SK, de Lima Moraes AG, França L, Yoon JH, Phumichai C, Kittipadakul P.   +9 more
europepmc   +1 more source