Results 21 to 30 of about 1,912,794 (271)

Mapping drought characteristics in northern Algerian Basins using the ERA5-Land dataset. [PDF]

Sci Rep
Over the past decades, drought events have led to significant agricultural losses and water shortages in the Algerian catchments; these hydro-meteorological phenomena strongly affect the entire Mediterranean region, and its frequency and intensity may increase due to climate change.
Ceppi A, Achite M, Toubal AK, Caloiero T.   +3 more
europepmc   +5 more sources

The ERA5-Land soil temperature bias in permafrost regions [PDF]

The Cryosphere, 2020
Abstract. ERA5-Land (ERA5L) is a reanalysis product derived by running the land component of ERA5 at increased resolution. This study evaluates ERA5L soil temperature in permafrost regions based on observations and published permafrost products. We find that ERA5L overestimates soil temperature in northern Canada and Alaska but underestimates it in mid–
B. Cao, S. Gruber, D. Zheng, X. Li, X. Li   +4 more
openaire   +3 more sources

Investigation of potential land value tax policy - options for Scotland [PDF]

, 2018
The University of Reading has been appointed by the Scottish Land Commission (SLC) to conduct research to assess, with reference to international experience, the potential of land value taxation to contribute to a more productive, accountable and ...
Hughes, Cathy, Wyatt, Peter, Shepherd, Edward, Sayce, Sarah, McCluskey, William, Scottish Land Commission   +5 more
core   +9 more sources

Gördes Havzası Akışlarının Modellenmesinde Era5-Land Verilerinin Performans Değerlendirmesi

DÜMF Mühendislik Dergisi, 2023
İklim değişikliğinin akarsu akımları üzerindeki etkilerinin hidrolojik modeller yardımıyla belirlenmesinde küresel atmosferik veri setlerinden sıklıkla faydalanılmaktadır. Sunulan çalışmada, Ege bölgesinde yer alan Gördes Havzası akımlarının hem küresel veri setleri hem de lokal istasyon verileri ile akışlarının modellenmesi ve bu model sonuçları ...
Destina Dilan EKİNCİ, Okan FISTIKOĞLU
openaire   +3 more sources

Evaluation of Long-Term and High-Resolution Gridded Precipitation and Temperature Products in the Qilian Mountains, Qinghai–Tibet Plateau

Frontiers in Environmental Science, 2022
Long-term and high-resolution gridded products of precipitation and temperature data are highly important to study the changes in climate and environment under global warming.
Yanzhao Li, Yanzhao Li, Xiang Qin, Xiang Qin, Yushuo Liu, Yushuo Liu, Zizhen Jin, Zizhen Jin, Jun Liu, Lihui Wang, Lihui Wang, Jizu Chen   +11 more
doaj   +1 more source

Comprehensive Evaluations on the Error Characteristics of the State‐of‐the‐Art Gridded Precipitation Products Over Jiangxi Province in 2019

Earth and Space Science, 2021
Accurate knowledge of the precipitation estimates with high quality and fine spatiotemporal resolutions is crucial to the precipitation science communities, especially over poorly gauged regions.
Tulin Hong, Hongyi Li, Meiqiu Chen
doaj   +1 more source

Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature [PDF]

Advanced science
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Wang L, Zhang X, Leung R, Chiew F, AghaKouchak A, Ying K, Zhang Y.   +6 more
europepmc   +2 more sources

ERA5-Land globe animation

, 2021
<p>Spinning globe animation of ERA5 Land data</p ...
Philip Kraaijenbrink
core   +1 more source

Trends in the GloFAS-ERA5 river discharge reanalysis [PDF]

, 2020
The main objective of this study is to analyse the GloFAS-ERA5 river discharge reanalysis for any noticeable change (including gradual trends or discontinuities) in the annual mean time series across the 1979-2018 (40-year) period, and to evaluate how ...
Prudhomme, C., Harrigan, S., Zsótér, E, Cloke, H. L., de Rosnay, P., Munoz-Sabater, J., Stephens, E.   +6 more
core   +1 more source

Comparison of Artificial Neural Network and Regression Models for Filling Temporal Gaps of Meteorological Variables Time Series

Applied Sciences, 2023
Continuous meteorological variable time series are highly demanded for various climate related studies. Five statistical models were tested for application of temporal gaps filling in time series of surface air pressure, air temperature, relative air ...
Egor Dyukarev
doaj   +1 more source