Works matching DE "PRECIPITABLE water"
Results: 950
Atmospheric Water Resources and Their Exploitability in the Middle East.
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- Journal of Hydrometeorology, 2025, v. 26, n. 3, p. 273, doi. 10.1175/JHM-D-23-0077.1
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Spatiotemporal Heterogeneity of Precipitable Water Diurnal Variation over the Tibetan Plateau Based on a Refined 2D Water Vapor Reconstruction.
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- Atmosphere, 2025, v. 16, n. 2, p. 139, doi. 10.3390/atmos16020139
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Physical and AI-Based Algorithms for Retrieving Cloud Liquid Water and Total Precipitable Water from Microwave Observation.
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- Remote Sensing, 2025, v. 17, n. 4, p. 728, doi. 10.3390/rs17040728
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Trends in precipitable water vapor in North America based on GNSS observation and ERA5 reanalysis: Trends in precipitable water vapor...: Y. Zhao et al.
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- Climate Dynamics, 2025, v. 63, n. 2, p. 1, doi. 10.1007/s00382-024-07572-w
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Discrepancies of kilometer-scale dynamic downscaling over the Tibetan Plateau: underestimation of nocturnal precipitation in summer.
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- Climate Dynamics, 2024, v. 62, n. 7, p. 5909, doi. 10.1007/s00382-024-07183-5
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Trends in seasonal precipitation extremes and associated temperatures along continental Chile.
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- Climate Dynamics, 2024, v. 62, n. 5, p. 4205, doi. 10.1007/s00382-024-07127-z
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Interdecadal variation of tropical cyclone genesis longitudes over the western North Pacific.
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- Climate Dynamics, 2024, v. 62, n. 5, p. 3965, doi. 10.1007/s00382-024-07110-8
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Diurnal variability of atmospheric water vapour, precipitation and cloud top temperature across the global tropics derived from satellite observations and GNSS technique.
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- Climate Dynamics, 2024, v. 62, n. 3, p. 1965, doi. 10.1007/s00382-023-07005-0
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The North American Monsoon precipitation response to climate warming at convection-permitting scales.
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- Climate Dynamics, 2024, v. 62, n. 1, p. 497, doi. 10.1007/s00382-023-06920-6
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Quantitative attribution of the temperature associated with winter extreme cold events in China.
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- Climate Dynamics, 2024, v. 62, n. 1, p. 413, doi. 10.1007/s00382-023-06906-4
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Study of moisture flux over Uttarakhand State: signature of cloud bursts.
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- Climate Dynamics, 2023, v. 61, n. 11/12, p. 5349, doi. 10.1007/s00382-023-06859-8
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Precipitable water vapor in regional climate models over Ethiopia: model evaluation and climate projections.
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- Climate Dynamics, 2023, v. 61, n. 11/12, p. 5287, doi. 10.1007/s00382-023-06855-y
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Response of summer precipitation over the Tibetan Plateau to large tropical volcanic eruptions in the last millennium.
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- Climate Dynamics, 2023, v. 60, n. 9/10, p. 3121, doi. 10.1007/s00382-022-06463-2
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Revisiting mechanisms of the Mesoamerican Midsummer drought.
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- Climate Dynamics, 2023, v. 60, n. 1/2, p. 549, doi. 10.1007/s00382-022-06338-6
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The impact of air–sea coupling on the simulation of the hydroclimatic change over Peninsular Florida.
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- Climate Dynamics, 2022, v. 59, n. 11/12, p. 3763, doi. 10.1007/s00382-022-06294-1
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Preferred intra-seasonal circulation patterns of the Indian summer monsoon and active-break cycles: A new view of the active-break cycle.
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- Climate Dynamics, 2022, v. 59, n. 5/6, p. 1415, doi. 10.1007/s00382-021-06047-6
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A high resolution coupled ocean-atmosphere simulation of the regional climate over Central America.
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- Climate Dynamics, 2022, v. 58, n. 11/12, p. 2981, doi. 10.1007/s00382-021-06083-2
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Evaluation of convective parameters derived from pressure level and native ERA5 data and different resolution WRF climate simulations over Central Europe.
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- Climate Dynamics, 2022, v. 58, n. 5/6, p. 1569, doi. 10.1007/s00382-021-05979-3
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Impact of Stochastic Entrainment in the NCAR CAM Deep Convection Parameterization on the Simulation of South Asian Summer Monsoon.
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- Climate Dynamics, 2021, v. 57, n. 11/12, p. 3365, doi. 10.1007/s00382-021-05870-1
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Ocean–atmosphere coupled processes in the tropical Indian Ocean region prior to Indian summer monsoon onset over Kerala.
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- Climate Dynamics, 2021, v. 56, n. 1/2, p. 597, doi. 10.1007/s00382-020-05499-6
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The response of warm-season precipitation extremes in China to global warming: an observational perspective from radiosonde measurements.
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- Climate Dynamics, 2020, v. 54, n. 9/10, p. 3977, doi. 10.1007/s00382-020-05216-3
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The April 2010 North African heatwave: when the water vapor greenhouse effect drives nighttime temperatures.
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- Climate Dynamics, 2020, v. 54, n. 9/10, p. 3879, doi. 10.1007/s00382-020-05204-7
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Multi-source forcing effects analysis using Liang–Kleeman information flow method and the community atmosphere model (CAM4.0).
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- Climate Dynamics, 2019, v. 53, n. 9/10, p. 6035, doi. 10.1007/s00382-019-04914-x
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Historical and future changes of atmospheric precipitable water over China simulated by CMIP5 models.
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- Climate Dynamics, 2019, v. 52, n. 11, p. 6969, doi. 10.1007/s00382-018-4559-7
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A survey of the atmospheric physical processes key to the onset of Arctic sea ice melt in spring.
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- Climate Dynamics, 2019, v. 52, n. 7/8, p. 4907, doi. 10.1007/s00382-018-4422-x
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Precipitable water and CAPE dependence of rainfall intensities in China.
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- Climate Dynamics, 2019, v. 52, n. 5/6, p. 3357, doi. 10.1007/s00382-018-4327-8
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A possible mechanism for the occurrence of wintertime extreme precipitation events over South China.
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- Climate Dynamics, 2019, v. 52, n. 3/4, p. 2367, doi. 10.1007/s00382-018-4262-8
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Diagnosing potential changes in Asian summer monsoon onset and duration in IPCC AR4 model simulations using moisture and wind indices.
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- Climate Dynamics, 2012, v. 39, n. 9/10, p. 2465, doi. 10.1007/s00382-012-1289-0
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Weather regimes over Senegal during the summer monsoon season using self-organizing maps and hierarchical ascendant classification. Part II: interannual time scale.
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- Climate Dynamics, 2012, v. 39, n. 9/10, p. 2251, doi. 10.1007/s00382-012-1346-8
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Probable maximum precipitation in a warming climate over North America in CanRCM4 and CRCM5.
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- Climatic Change, 2020, v. 158, n. 3/4, p. 611, doi. 10.1007/s10584-019-02591-7
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Sorbents for treatment of water vapor-air flows to remove volatile organic compounds of radioactive iodine.
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- Radiochemistry, 2009, v. 51, n. 3, p. 283, doi. 10.1134/S1066362209030114
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Precipitable water modelling using artificial neural network in Çukurova region.
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- Environmental Monitoring & Assessment, 2012, v. 184, n. 1, p. 141, doi. 10.1007/s10661-011-1953-6
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- Article
融合物理机理与随机森林算法的FY-4A AGRI 数据 晴空大气可降水量遥感反演.
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- Journal of Remote Sensing, 2021, v. 25, n. 8, p. 1836, doi. 10.11834/jrs.20211217
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城市地表温度空间降尺度研究—以北京市为例.
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- Journal of Remote Sensing, 2021, v. 25, n. 8, p. 1808, doi. 10.11834/jrs.20211309
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A proposed neural network model for obtaining precipitable water vapor.
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- Journal of Applied Geodesy, 2024, v. 18, n. 2, p. 177, doi. 10.1515/jag-2023-0035
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Artificial neural network for improving the estimation of weighted mean temperature in Egypt.
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- Journal of Applied Geodesy, 2022, v. 16, n. 1, p. 59, doi. 10.1515/jag-2021-0048
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Dynamic modeling of GNSS troposphere wet delay for estimation of Precipitable Water Vapour.
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- Journal of Applied Geodesy, 2014, v. 8, n. 1, p. 31, doi. 10.1515/jag-2013-0012
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- Article
Completeness of radiosonde humidity observations based on the Integrated Global Radiosonde Archive.
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- Earth System Science Data, 2019, v. 11, n. 2, p. 603, doi. 10.5194/essd-11-603-2019
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Study on Spatial Characteristics, Health Assessment, and Influencing Factors of Tropospheric Ozone Pollution in Qin–Jin Region, 2013–2022.
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- Sustainability (2071-1050), 2023, v. 15, n. 24, p. 16945, doi. 10.3390/su152416945
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Variability of Total Precipitable Water over the North Atlantic and North Pacific According to Satellite Microwave Sounding.
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- Russian Meteorology & Hydrology, 2022, v. 47, n. 4, p. 281, doi. 10.3103/S1068373922040045
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Retrieval of Total Precipitable Water from Meteor-M No. 2-2 MTVZA-GYa Data Using a Neural Network Algorithm.
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- Russian Meteorology & Hydrology, 2022, v. 47, n. 4, p. 272, doi. 10.3103/S1068373922040033
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Environments of Formation of Severe Squalls and Tornadoes Causing Large-scale Windthrows in the Forest Zone of European Russia and the Ural.
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- Russian Meteorology & Hydrology, 2021, v. 46, n. 2, p. 83, doi. 10.3103/S1068373921020035
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Climatic characteristics of air humidity in the Arctic region from upper-air data.
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- Russian Meteorology & Hydrology, 2016, v. 41, n. 6, p. 398, doi. 10.3103/S1068373916060030
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Determination of the dates of the southwest monsoon in northeastern Thailand from the data on precipitable water vapor obtained by GPS.
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- Russian Meteorology & Hydrology, 2015, v. 40, n. 10, p. 647, doi. 10.3103/S1068373915100027
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Lightning activity and its connection with weather-related parameters over Sri Lanka.
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- Acta Geophysica, 2025, v. 73, n. 1, p. 995, doi. 10.1007/s11600-024-01442-z
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Precipitable water vapour (PWV) variations as observed using GPS during 2021 forest fires in Southwestern Turkey.
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- Acta Geophysica, 2022, v. 70, n. 4, p. 1937, doi. 10.1007/s11600-022-00807-6
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Local modeling of weighted mean temperature in Iran and its impact on GNSS meteorology.
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- Acta Geophysica, 2022, v. 70, n. 3, p. 1445, doi. 10.1007/s11600-022-00775-x
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Increasing pre-monsoon rain days over four stations of Kerala, India.
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- Acta Geophysica, 2022, v. 70, n. 2, p. 963, doi. 10.1007/s11600-022-00742-6
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Study of statistical estimated parameters using ERA5 reanalysis data over Khulna region during monsoon season.
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- Acta Geophysica, 2021, v. 69, n. 5, p. 1963, doi. 10.1007/s11600-021-00662-x
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Impact of convection and stability parameters on lightning activity over Andhra Pradesh, India.
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- Acta Geophysica, 2020, v. 68, n. 6, p. 1845, doi. 10.1007/s11600-020-00479-0
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