Results 21 to 30 of about 8,721 (261)

صحت‌سنجی پهنه و هیدروگراف سیلاب با استفاده از داده‌های بارش ERA5 (مطالعه موردی: حوضه زشک) [PDF]

open access: yesجغرافیا و مخاطرات محیطی, 2022
بارش یکی از اصلی‌ترین عوامل وقوع سیلاب‌هاست که به علت عدم پراکندگی مناسب ایستگاه‌های باران‌سنجی و تازه‌تأسیس‌بودن برخی از این ایستگاه‌ها در اکثر حوضه‌های کشور، استفاده از داده‌های بارش با چالشی جدی روبروست. ازاین‌رو روش‌های دورسنجی می‌توانند یکی از گزینه‌
سعیده پورانتظاری   +3 more
doaj   +1 more source

Evaluation of ERA5 and ERA5-Land Reanalysis Precipitation Data with Rain Gauge Observations in Greece

open access: yes16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023, 2023
Precipitation is a key component of the hydrological cycle and directly affects water availability and hydrometeorological hazards. The objective of this study is to evaluate the performance of two reanalysis precipitation datasets, ERA5 and ERA5-land, in reproducing precipitation accumulations over Greece.
Vasileios Alexandridis   +2 more
openaire   +2 more sources

Radiosonde comparison of ERA5 and ERA-Interim reanalysis datasets over tropical oceans

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2021
After the release of the ERA-Interim reanalysis, many changes have been made to the Integrated Forecasting System model and data-assimilation system, resulting in an improved reanalysis, ERA5.
Meri Virman   +4 more
doaj   +1 more source

Evaluation of Zenith Tropospheric Delay Derived from ERA5 Data over China Using GNSS Observations

open access: yesRemote Sensing, 2020
The latest reanalysis of the European Center for Medium-Range Weather Forecasts (ECMWF), ERA5, can provide atmospheric data for calculating Zenith Tropospheric Delay (ZTD) with hourly temporal resolution, which is a key factor in Global Navigation ...
Chunhua Jiang   +4 more
doaj   +1 more source

Analogue methods and ERA5: Benefits and pitfalls [PDF]

open access: yesInternational Journal of Climatology, 2021
AbstractPerfect prognosis statistical downscaling relies on the statistical relationships established using observational data for predictands and predictors. Predictors are often retrieved from reanalyses, which are considered pseudo‐observations. The impact of the choice of a reanalysis dataset on the performance of the downscaling method is usually ...
openaire   +1 more source

Assessment of wave power stability and classification with two global datasets

open access: yesInternational Journal of Sustainable Energy, 2021
Global distribution of the wave climate and energy using a re-analysis dataset provides the opportunity to study spatio-temporal variation of different parameters, and offers inputs for future sustainability plans.
George Lavidas, Bahareh Kamranzad
doaj   +1 more source

Identifying lightning processes in ERA5 soundings with deep learning

open access: yesGeoscientific Model Development, 2023
Abstract. Atmospheric environments favorable for lightning and convection are commonly represented by proxies or parameterizations based on expert knowledge such as convective available potential energy (CAPE), wind shear, charge separation, or combinations thereof.
Tobias Hell   +3 more
openaire   +2 more sources

Satellite-Driven Hydrological Modelling in Ungauged Moroccan bassins: Case study Ouzoud river [PDF]

open access: yesE3S Web of Conferences
Predicting streamflow is vital for flash-flood early warning systems and managing water resources under climate change. However, limited streamflow observations restrict advanced prediction techniques to gauged basins, leaving most of the world's ...
Zilali Abdessamad   +2 more
doaj   +1 more source

Precipitation phase transition in austral summer over the Antarctic Peninsula

open access: yesУкраїнський антарктичний журнал, 2021
Investigating precipitation phase transitions is crucial for improving our understanding of precipitation formation processes and impacts, particularly in Polar Regions.
A. Chyhareva   +4 more
doaj   +1 more source

Seasonal And Annual Variability Of Svalbard Cloud Cover

open access: yesРоссийская Арктика, 2022
This study is focused on the seasonal and inter-annual variability of total cloud cover in the Svalbard and a comparative analysis of data obtained from three meteorological stations with the ERA5 reanalysis data.
Schmitt Amelie   +2 more
doaj   +1 more source

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