Results 81 to 90 of about 73,794 (208)

Assessment of ERA5-Land Reanalysis Precipitation Data in the Qilian Mountains of China

Atmosphere
Precipitation serves as a crucial indicator of climate change and a vital part of the water cycle in mountainous regions. ERA5-Land, a cutting-edge global reanalysis dataset designed for land applications, has been extensively utilized in climate-related
Lihui Qian, Peng Zhao
doaj   +1 more source

Feasibility of climate reanalysis data as a proxy for onsite weather measurements in outdoor thermal comfort surveys. [PDF]

Theor Appl Climatol, 2022
Krüger EL, Di Napoli C.
europepmc   +1 more source

Meta-analysis of the prevalence of attention-deficit hyperactivity disorder in prison: A comment on Fazel and Favril (2024) and reanalysis of the data. [PDF]

BACKGROUND Fazel and Favril presented a reanalysis of our previously published systematic review and meta-analysis on the prevalence of attention deficit hyperactivity disorder (ADHD) in prison.
Efthimiou, Orestis, Baggio, Stéphanie
core   +1 more source

Convective Potential Assessment Based on Reanalysis Data and Ensemble Forecast Products

应用气象学报
Reanalysis data and model prediction products are frequently used in studying the convective potential index and its thresholds. CMA global reanalysis (CRA) developed by China Meteorological Administration and CMA-Global Ensemble Prediction System (CMA ...
Wang Jingzhuo, Chen Jing, Ma Ruoyun, Liang Chen   +3 more
doaj   +1 more source

Author Correction: Comparison of weather station and climate reanalysis data for modelling temperature-related mortality. [PDF]

Sci Rep, 2022
Mistry MN, Schneider R, Masselot P, Royé D, Armstrong B, Kyselý J, Orru H, Sera F, Tong S, Lavigne É, Urban A, Madureira J, García-León D, Ibarreta D, Ciscar JC, Feyen L, de Schrijver E, de Sousa Zanotti Stagliorio Coelho M, Pascal M, Tobias A, Multi-Country Multi-City (MCC) Collaborative Research Network, Guo Y, Vicedo-Cabrera AM, Gasparrini A.   +23 more
europepmc   +1 more source

Forecasting Formation of a Tropical Cyclone Using Reanalysis Data

Advances in Artificial Intelligence and Machine Learning
The tropical cyclone formation process is one of the most complex natural phenomena which is governed by various atmospheric, oceanographic, and geographic factors that varies with time and space. Despite several years of research, accurately predicting tropical cyclone formation remains a challenging task.
Sandeep Kumar 0002, Koushik Biswas, Ashish Kumar Pandey   +2 more
openaire   +2 more sources

New data, old story: Molecular data illuminate the tribal relationships among rove beetles of the subfamily Staphylininae (Coleoptera: Staphylinidae)

, 2020
The attached supplementary data include the full analyzed datasets, control files, all output files, and visualized final resultant trees. Files S1: full results of the PHYLOBAYES reanalysis of Żyła and Solodovnikov [21] Files S2: full results of the ...
Tihelka, E (via Mendeley Data)
core   +1 more source

Data of dynamic downscaled extreme events for the coastal region of Southern Brazil

, 2018
This dataset was created for the Danilo Couto de Souza's master thesis. The results were further sent to publication. In this dataset there is processed data of extreme events for the coastal region of southern Brazil.
Ramos da Silva, R. (Renato), Couto de Souza, D. (Danilo)   +1 more
core   +1 more source

Comprehensive reanalysis for CNVs in ES data from unsolved rare disease cases results in new diagnoses

We report the results of a comprehensive copy number variant (CNV) reanalysis of 9171 exome sequencing datasets from 5757 families affected by a rare disease (RD).
Grimbacher, Bodo, Caballero-Otezya, Andrés, Demidov, German, Laurie, Steven, Lochmüller, Hanns   +4 more
core   +1 more source

Time-series of monthly mean steric sea levels

, 2015
This dataset with monthly mean sea levels complements the Global Tide and Surge Reanalysis (GTSR) dataset. The GTSR time-series do not includes variations in mean sea level driven by changes in water mass and water density.
Haigh, I.D. (Ivan), Muis, S. (Sanne)
core   +1 more source