Results 211 to 220 of about 6,210 (233)

SCL-CFSR: Context-Aware Session-Based Recommendation via Self-Contrastive Learning and Multi-Layer Self-Filtering Residual Attention

BigData Congress [Services Society]
In recent years, session-based recommendation methods have achieved significant progress by leveraging user interaction behaviors. However, as user behavior patterns become increasingly complex, traditional recommendation approaches are facing critical ...
Jing He, Han Zhang, Lin Chen, Cheng Luo, Wei Guo, Zhen Zhang   +5 more
semanticscholar   +1 more source

Bias reduction of CFSR data with random forest for applications in water resources modelling in Ogun River

Hydrological Sciences Journal
This study employs random forest (RF) to improve the Climate Forecast System Reanalysis (CFSR) dataset’s usability. The combination of monthly relative humidity, maximum and minimum temperature, and rainfall from selected CFSR data points, along with the
O. Aiyelokun, G. Ogunsanwo, Q. B. Pham, Oluwadamilola Salau, Precious Eguagie-suyi   +4 more
semanticscholar   +1 more source

Climatology of the terms and variables of transformed Eulerian-mean (TEM) equations from multiple reanalyses: MERRA-2, JRA-55, ERA-Interim, and CFSR

Atmospheric Chemistry and Physics
. A 30-year (1980–2010) climatology of the major variables and terms of the transformed Eulerian-mean (TEM) momentum and thermodynamic equations is constructed by using four global atmospheric reanalyses: the Modern-Era Retrospective analysis for ...
M. Fujiwara, Patrick Martineau, Jonathon S. Wright, M. Abalos, P. Šácha, Yoshio Kawatani, Sean M. Davis, T. Birner, B. Monge-Sanz   +8 more
semanticscholar   +1 more source

Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake

JAWRA Journal of the American Water Resources Association, 2020
Evaluating the accuracy of gridded weather data is important because these data significantly affect the results of hydrologic simulations. In this study, we evaluated the applicability of Climate Forecast System Reanalysis (CFSR) and China ...
Jianzhong Lu, Zixuan Liu, Weizhe Liu, Xiaoling Chen, Ling Zhang   +4 more
semanticscholar   +1 more source

Regional modeling of daily precipitation fields across the Great Lakes region (Canada) using the CFSR reanalysis

Stochastic Environmental Research and Risk Assessment, 2019
High densities of local-scale daily precipitation series across relatively large domains are of special interest for a wide range of applications (e.g., hydrological modeling, agriculture). The focus of the present study is to post-process gridded precipitation from a single reanalysis to correct bias and scale mismatch with observations, and to extend
Dikra Khedhaouiria, Alain Mailhot, Anne-Catherine Favre   +2 more
openaire   +2 more sources

Correlation Analysis and Residual Error between Re-Analysis Data of the CFSR Model and Meteorological Stations

2018 7th International Conference On Software Process Improvement (CIMPS), 2018
The article describes a work of analysis of correlations between Re-Analysis Data (RAD) of the climate-forecasting model known worldwide as CFSR (Climate Forecast System Reanalysis), and those provided by local Meteorological Stations (MS), installed in the geographical area study.
Francisco Garcia Barrera, Wilson Castillo Rojas   +1 more
openaire   +1 more source

EVALUATION OF WIND ENERGY POTENTIAL OF THE BLACK SEA COAST USING CFSR

Alternative Energy and Ecology (ISJAEE), 2016
S. V. Kiseleva, A. A. Shestakova, P. A. Toropov, S. A. Myslenkov   +3 more
openaire   +1 more source

Comparing CFSR and INMET data for Brazil to evaluate the suitability of CFSR data for SWAT

2014
Monteiro, José Alberto Fernandez, Gücker, Björn, Raghaven Srinivasan   +2 more
openaire   +1 more source

Assessment of CFSR, ERA-Interim, JRA-55, MERRA-2, NCEP-2 reanalysis data for drought analysis over China

Climate Dynamics, 2019
Shu Chen, T. Gan, Xuezhi Tan, Dongguo Shao, Jianqiang Zhu   +4 more
semanticscholar   +1 more source

ارزیابی دقت داده‌های CFSR و مدل LARS-WG در شبیه‌سازی پارامتر‌های اقلیمی استان چهارمحال و بختیاری

2016
هدف پژوهش حاضر، ارزیابی دقت مولد آب‌وهوایی LARS-WG و داده‌های CFSR در شبیه‌سازی پارامترهای اقلیمی (دمای کمینه و بیشینه و بارش) استان چهارمحال و بختیاری است. بدین‌منظور، از مقایسةشاخص‌های آماری RMSE، MBE، MAEو R2استفاده شد. در ایستگاه شهرکرد مقادیر RMSE و MAE برای بارش ماهانة داده‌های CFSR به ترتیب 49/20 و 19/11 میلی‌متر و برای بارش سالانه 88/92 و 51/72
openaire   +1 more source