Results 31 to 40 of about 70,219 (233)
A 7-Year Lag Precipitation Teleconnection in South Australia and Its Possible Mechanism
Frontiers in Earth Science, 2020 Precipitation teleconnections with large-scale ocean–atmosphere oscillation systems provide useful information for water management. Here, we present a 7-year lag response in South Australia (SA) precipitation to the Southern Annular Mode (SAM) in a ...
Lingli Fan +6 more
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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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A fibre optic sensor for the measurement of surface roughness and displacement using artificial neural networks [PDF]
, 1997 This paper presents a fiber optic sensor system, artificial neural networks (fast back-propagation) are employed for the data processing. The use of the neural networks makes it possible for the sensor to be used both for surface roughness and ...
Butler, C, Lu, Y, Yang, QP, Zhang, K
core +1 more source
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 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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MAPPING COLOURED DISSOLVED ORGANIC MATTER IN MANILA BAY USING SENTINEL-3 AND WASI [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Manila Bay is one of the most significant bodies of water in the Philippines; it has abundant natural resources that have been the source of livelihood and center of socio-economic development for centuries.
A. Manuel +5 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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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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