Results 21 to 30 of about 6,191 (299)
Atmosphere, 2021 In this research, the observation datasets from 106 gauge stations over the central and eastern areas of the Tibetan Plateau (TP) and the ERA (ECMWF Re-Analysis)-Interim reanalysis datasets in the summers of 1981–2016 are used to study the ...
Jun Sun +3 more
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Geophysical Research Letters, 2023 Significant variability of raindrop size distributions (DSDs) has been observed in the “21·7” Henan extremely heavy rainfall event (the “21·7” Henan EHR event), while the capability of model to reproduce such complicated heavy rainfall DSDs is yet ...
Gang Chen +8 more
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Frontiers in Environmental Science, 2022 Long-term near-surface soil moisture (SM) data can be obtained on a regional scale through microwave remote sensing. Therefore, to quantitatively analyze the accuracy of multisource remote sensing–based observation products, improve the retrieval ...
Jiazhi Fan +6 more
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Meteorological Education and Training Using A-Train Profilers
Bulletin of the American Meteorological Society, 2012 NASA A-Train vertical profilers provide detailed observations of atmospheric features not seen in traditional imagery from other weather satellite data. CloudSat and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) profiles vividly depict the vertical dimension of otherwise two-dimensional features shown in mapped products ...
Richard L. Bankert +2 more
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Meteorological Applications, 2020 Reliable and affordable telecommunications are an integral part of service‐based economies, but the nature of the associated physical infrastructure leads to considerable exposure to weather.
David J. Brayshaw +3 more
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RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data
IEEE Access, 2023 Time-series data with missing values are a common occurrence in various fields, including healthcare, meteorology, and robotics. The process of imputation aims to fill in the missing values with valid values.
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
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Mathematics, 2022 Prediction problems in timed datasets related to human activities are especially difficult to solve, because of the specific characteristics and the scarce number of predictive (input) variables available to tackle these problems.
Ricardo Torres-López +5 more
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, 2022 DeepPrecip model training data (MRR, Pluvio, surface meteorology and ERA5 2mt and wind velocity data) organized by observation ...
Fraser King
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Why the Increasing Trend of Summer Rainfall over North China Has Halted since the Mid-1990s
Advances in Meteorology, 2020 Previous studies indicate that the summer (July-August) rainfall over North China has decreased since the mid-1970s due to the weakening of East Asian summer monsoon (EASM). However, this study firstly discovers the new evidences that the summer rainfall
Haiwen Liu +5 more
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Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining
Applied Sciences, 2022 We deal with the problem of class imbalance in data mining and machine learning classification algorithms. This is the case where some of the class labels are represented by a small number of examples in the training dataset compared to the rest of the ...
Evangelos Tsagalidis +1 more
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