A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops DOI Creative Commons
Carmelo Cammalleri, Martha C. Anderson, Nicolás Bambach

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 306, P. 109207 - 109207

Published: Dec. 1, 2024

Language: Английский

Projections of Future Droughts in Morocco: Key Insights from Bias-Corrected Med-CORDEX Simulations in the Haouz Region DOI
Imane El Bouazzaoui, Yassine Ait Brahim, Abdelhakim Amazirh

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

1

How do gridded meteorological datasets perform in a typical data-scarce cryospheric basin? DOI Creative Commons
Yaping Chang, Donghui Shangguan, Yongjian Ding

et al.

Advances in Climate Change Research, Journal Year: 2024, Volume and Issue: 15(6), P. 1027 - 1039

Published: Oct. 21, 2024

Language: Английский

Citations

4

Daily rainfall variability controls humid heatwaves in the global tropics and subtropics DOI Creative Commons
Lawrence Jackson, Cathryn E. Birch,

Guillaume Chagnaud

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 29, 2025

Language: Английский

Citations

0

Updated insights on climate change-driven temperature variability across historical and future periods DOI Creative Commons
María Ofelia Molina, Pedro M. M. Soares,

M. I. P. de Lima

et al.

Climatic Change, Journal Year: 2025, Volume and Issue: 178(5)

Published: April 30, 2025

Language: Английский

Citations

0

Comparative analysis of satellite and reanalysis data with ground‐based observations in Northern Ghana DOI Creative Commons
Josephine Thywill Katsekpor, Klaus Greve, Edmund Ilimoan Yamba

et al.

Meteorological Applications, Journal Year: 2024, Volume and Issue: 31(4)

Published: July 1, 2024

Abstract Accurate predictions of streamflow and flood events are contingent upon the availability reliable hydrometeorological data. In regions characterized by scarcity ground‐based observations, satellite reanalysis data assume prominence as alternative predictors. Floods droughts have emerged a significant concern in Northern Ghana, yet impedes effective prediction these hydrological events. Consequently, identification suitable surrogate holds paramount importance addressing challenges. This study, therefore, assessed accuracy against Ghana. Rainfall mean temperature spanning from 1998 to 2019 soil moisture datasets 2022 were collected GMet, ISMN (ground‐based), CHIRPS, PERSIANN‐CDR, ERA5, ARC2, MERRA‐2, TRMM CFSR (satellite reanalysis). Employing rigorous statistical measures, namely standard deviation, absolute error (MAE) bias (MBE), was thoroughly evaluated. The results revealed that CHIRPS PERSIANN‐CDR exhibited superior rainfall simulation, with demonstrating particularly consistent congruence observed terms prediction, ERA5 surpassed MERRA‐2 CFSR. Regarding assessments, both offered satisfactory simulations. Hence, our findings advocate for preference (for data), data) combination CFSR/ERA5 dependable primary sources modelling, drought analysis, water resource management context

Language: Английский

Citations

3

A first assessment of ERA5 and ERA5‐Land reanalysis air temperature in Portugal DOI
Manuel Almeida, Pedro Coelho

International Journal of Climatology, Journal Year: 2023, Volume and Issue: 43(14), P. 6643 - 6663

Published: Aug. 23, 2023

Abstract This study evaluates the reliability of ERA5 and ERA5‐Land reanalysis datasets in describing mean daily air temperature four climate domains mainland Portugal. The were compared with ground observations from 94 meteorological stations (1980–2021). Overall, results demonstrated a good degree correlation between observed data on both seasonal scale. Both latitudinal distribution moderating effect Atlantic Ocean are well described. However, case Portugal, was shown to be considerably more effective at than ERA5. also indicated that, general, methodologies perform better when applied simulation flatter regions as opposed high‐altitude complex terrain. further suggests that should used caution short‐term environmental studies. In fact, relevant differences exist reanalyses for certain specific years. considering RMSE there is 28% probability locally having <1.5°C, 52% >1.5°C <2.0°C, 16% >2.0°C <3.0°C. These conclusions will hopefully contribute improving our understanding uncertainty sources relation different domains.

Language: Английский

Citations

6

Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data DOI
Ali Salem Al‐Sakkaf, Jiahua Zhang, Fengmei Yao

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: 38(9), P. 3639 - 3656

Published: July 13, 2024

Language: Английский

Citations

2

Spatiotemporal trends and implications of climate extremes over Oman: A comprehensive ERA5 reanalysis assessment DOI
Ali Salem Al‐Sakkaf, Jiahua Zhang, Fengmei Yao

et al.

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(12), P. 10051 - 10067

Published: Nov. 1, 2024

Language: Английский

Citations

2

Channel selection method for the CH4 profile retrieval using the Atmospheric Sounder Spectrometer by Infrared Spectral Technology DOI
Yue Wang, Hanhan Ye,

Hailiang Shi

et al.

Journal of Quantitative Spectroscopy and Radiative Transfer, Journal Year: 2024, Volume and Issue: 326, P. 109118 - 109118

Published: July 14, 2024

Language: Английский

Citations

0

A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops DOI Creative Commons
Carmelo Cammalleri, Martha C. Anderson, Nicolás Bambach

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 306, P. 109207 - 109207

Published: Dec. 1, 2024

Language: Английский

Citations

0