Works matching DE "MICROWAVE sounding units"
Results: 65
30-Year atmospheric temperature record derived by one-dimensional variational data assimilation of MSU/AMSU-A observations.
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- Climate Dynamics, 2014, v. 43, n. 7/8, p. 1857, doi. 10.1007/s00382-013-2012-5
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Uncertainty of AMSU-A derived temperature trends in relationship with clouds and precipitation over ocean.
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- Climate Dynamics, 2014, v. 43, n. 5/6, p. 1439, doi. 10.1007/s00382-013-1958-7
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Identification of ice properties in the Sea of Okhotsk using scattering index maps.
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- Russian Meteorology & Hydrology, 2014, v. 39, n. 4, p. 245, doi. 10.3103/S1068373914040050
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A method for merging nadir-sounding climate records, with an application to the global-mean stratospheric temperature data sets from SSU and AMSU.
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- Atmospheric Chemistry & Physics Discussions, 2015, v. 15, n. 7, p. 10085, doi. 10.5194/acpd-15-10085-2015
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An objective determination of optimal site locations for detecting expected trends in upper-air temperature and total column ozone.
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- Atmospheric Chemistry & Physics Discussions, 2015, v. 15, n. 2, p. 1617, doi. 10.5194/acpd-15-1617-2015
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Diagnostics of Subsurface Quasi-One-Dimensional Inhomogeneities by the Method of Resonance Near-Field Microwave Sounding.
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- Radiophysics & Quantum Electronics, 2014, v. 57, n. 1, p. 31, doi. 10.1007/s11141-014-9491-z
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Sensitivity of Satellite-Derived Tropospheric Temperature Trends to the Diurnal Cycle Adjustment.
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- Journal of Climate, 2016, v. 29, n. 10, p. 3629, doi. 10.1175/JCLI-D-15-0744.1
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Temperature Trends over Germany from Homogenized Radiosonde Data.
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- Journal of Climate, 2015, v. 28, n. 14, p. 5699, doi. 10.1175/JCLI-D-14-00814.1
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How Robust Are Trends in the Brewer-Dobson Circulation Derived from Observed Stratospheric Temperatures?
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- Journal of Climate, 2015, v. 28, n. 8, p. 3024, doi. 10.1175/JCLI-D-14-00295.1
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A Comparative Study of Wave Forcing Derived from the ERA-40 and ERA-Interim Reanalysis Datasets.
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- Journal of Climate, 2015, v. 28, n. 6, p. 2291, doi. 10.1175/JCLI-D-14-00356.1
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Removing Diurnal Cycle Contamination in Satellite-Derived Tropospheric Temperatures: Understanding Tropical Tropospheric Trend Discrepancies.
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- Journal of Climate, 2015, v. 28, n. 6, p. 2274, doi. 10.1175/JCLI-D-13-00767.1
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A New Variational Assimilation Method Based on Gradient Information from Satellite Data.
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- Advances in Meteorology, 2017, p. 1, doi. 10.1155/2017/4861765
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Upper tropospheric cloud systems derived from IR sounders: properties of cirrus anvils in the tropics.
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- Atmospheric Chemistry & Physics, 2017, v. 17, n. 6, p. 3845, doi. 10.5194/acp-17-3845-2017
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EarthCARE's Broadband Radiometer: Uncertainties Associated with Cloudy Atmospheres.
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- Journal of Atmospheric & Oceanic Technology, 2018, v. 35, n. 11, p. 2201, doi. 10.1175/JTECH-D-18-0083.1
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The Effect of Hydrometeors on MSU/AMSU Temperature Observations over the Tropical Ocean.
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- Journal of Atmospheric & Oceanic Technology, 2018, v. 35, n. 5, p. 1141, doi. 10.1175/JTECH-D-17-0190.1
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The Atmospheric Infrared Sounder version 6 cloud products.
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- Atmospheric Chemistry & Physics, 2014, v. 14, n. 1, p. 399, doi. 10.5194/acp-14-399-2014
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Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model.
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- Atmospheric Chemistry & Physics, 2014, v. 14, n. 1, p. 177, doi. 10.5194/acp-14-177-2014
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Measurement of Kinematic and Thermal Characteristics of High-Speed Gas-Dynamic Processes by Means of Microwave Sounding.
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- Combustion, Explosion, & Shock Waves, 2018, v. 54, n. 5, p. 614, doi. 10.1134/S0010508218050155
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A Prototype Precipitation Retrieval Algorithm over Land for ATMS.
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- Journal of Hydrometeorology, 2016, v. 17, n. 5, p. 1601, doi. 10.1175/JHM-D-15-0163.1
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Investigating the Ice Water Path in Convective Cloud Life Cycles to Improve Passive Microwave Rainfall Retrievals.
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- Journal of Hydrometeorology, 2014, v. 15, n. 4, p. 1486, doi. 10.1175/JHM-D-13-0206.1
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Assimilating AMSU-a radiance data with the WRF hybrid En3DVAR system for track predictions of Typhoon Megi (2010).
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- Advances in Atmospheric Sciences, 2015, v. 32, n. 9, p. 1231, doi. 10.1007/s00376-014-4239-4
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Stratospheric Temperature Climate Data Record from Merged SSU and AMSU-A Observations.
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- Journal of Atmospheric & Oceanic Technology, 2016, v. 33, n. 9, p. 1967, doi. 10.1175/JTECH-D-16-0018.1
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An In-Depth Evaluation of Heritage Algorithms for Snow Cover and Snow Depth Using AMSR-E and AMSR2 Measurements.
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- Journal of Atmospheric & Oceanic Technology, 2015, v. 32, n. 12, p. 2319, doi. 10.1175/JTECH-D-15-0100.1
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Trends of MSU Brightness Temperature in the Middle Troposphere Simulated by CMIP5 Models and Their Sensitivity to Cloud Liquid Water.
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- Journal of Atmospheric & Oceanic Technology, 2015, v. 32, n. 5, p. 1029, doi. 10.1175/JTECH-D-13-00250.1
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Connecting the Time Series of Microwave Sounding Observations from AMSU to ATMS for Long-Term Monitoring of Climate.
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- Journal of Atmospheric & Oceanic Technology, 2014, v. 31, n. 10, p. 2206, doi. 10.1175/JTECH-D-13-00232.1
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Characterizing Channel Center Frequencies in AMSU-A and MSU Microwave Sounding Instruments.
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- Journal of Atmospheric & Oceanic Technology, 2014, v. 31, n. 8, p. 1713, doi. 10.1175/JTECH-D-13-00136.1
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AMSU-A-Only Atmospheric Temperature Data Records from the Lower Troposphere to the Top of the Stratosphere.
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- Journal of Atmospheric & Oceanic Technology, 2014, v. 31, n. 4, p. 808, doi. 10.1175/JTECH-D-13-00134.1
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The Influence of Frequency Shifts in Microwave Sounder Channels on NWP Analyses and Forecasts.
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- Journal of Atmospheric & Oceanic Technology, 2014, v. 31, n. 4, p. 788, doi. 10.1175/JTECH-D-13-00016.1
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An initial assessment of observations from the Suomi- NPP satellite: data from the Cross-track Infrared Sounder ( CrIS).
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- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2015, v. 16, n. 3, p. 260, doi. 10.1002/asl2.551
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Monitoring the West African heat low at seasonal and intra-seasonal timescales using AMSU-A sounder.
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- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2013, v. 14, n. 4, p. 263, doi. 10.1002/asl2.449
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Remote Sensing of Tropical Cyclone Thermal Structure from Satellite Microwave Sounding Instruments: Impacts of Optimal Channel Selection on Retrievals.
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- Journal of Meteorological Research, 2018, v. 32, n. 5, p. 804, doi. 10.1007/s13351-018-8005-x
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Development and initial assessment of a new land index for microwave humidity sounder cloud detection.
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- Journal of Meteorological Research, 2016, v. 30, n. 1, p. 12, doi. 10.1007/s13351-016-5076-4
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Satellite data assimilation of upper-level sounding channels in HWRF with two different model tops.
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- Journal of Meteorological Research, 2015, v. 29, n. 1, p. 1, doi. 10.1007/s13351-015-4108-9
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Inter-channel uniformity of a microwave sounder in space.
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- Atmospheric Measurement Techniques Discussions, 2017, p. 1, doi. 10.5194/amt-2017-405
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Validation of merged MSU4 and AMSU9 temperature climate records with a new 2002-2012 vertically resolved temperature record.
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- Atmospheric Measurement Techniques Discussions, 2015, v. 8, n. 1, p. 235, doi. 10.5194/amtd-8-235-2015
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Inter-channel uniformity of a microwave sounder in space.
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- Atmospheric Measurement Techniques, 2018, v. 11, n. 7, p. 4005, doi. 10.5194/amt-11-4005-2018
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Improvement of OMI ozone profile retrievals by simultaneously fitting polar mesospheric clouds.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 9, p. 4521, doi. 10.5194/amt-9-4521-2016
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Recent divergences in stratospheric water vapor measurements by frost point hygrometers and the Aura Microwave Limb Sounder.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 9, p. 4447, doi. 10.5194/amt-9-4447-2016
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Evaluation of water vapour assimilation in the tropical upper troposphere and lower stratosphere by a chemical transport model.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 9, p. 4355, doi. 10.5194/amt-9-4355-2016
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Direct assimilation of Chinese FY-3C Microwave Temperature Sounder-2 radiances in the global GRAPES system.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 7, p. 3095, doi. 10.5194/amt-9-3095-2016
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Characterization of downwelling radiance measured from a ground-based microwave radiometer using numerical weather prediction model data.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 1, p. 281, doi. 10.5194/amt-9-281-2016
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Impacts of AMSU-A, MHS and IASI data assimilation on temperature and humidity forecasts with GSI-WRF over the western United States.
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- Atmospheric Measurement Techniques, 2015, v. 8, n. 10, p. 4231, doi. 10.5194/amt-8-4231-2015
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The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies.
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- Atmospheric Measurement Techniques, 2015, v. 8, n. 2, p. 837, doi. 10.5194/amt-8-837-2015
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Benefits of assimilating SAPHIR observations on analysis and forecasts of tropical fields in the Met Office global model.
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- Quarterly Journal of the Royal Meteorological Society, 2018, v. 144, p. 405, doi. 10.1002/qj.3258
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Striping noise reduction for ATMS window channels using a modified destriping algorithm.
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- Quarterly Journal of the Royal Meteorological Society, 2017, v. 143, n. 707, p. 2567, doi. 10.1002/qj.3107
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Impacts from assimilation of one data stream of AMSU-A and MHS radiances on quantitative precipitation forecasts.
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- Quarterly Journal of the Royal Meteorological Society, 2017, v. 143, n. 703, p. 731, doi. 10.1002/qj.2960
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Sea-surface emissivity parametrization from microwaves to millimetre waves.
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- Quarterly Journal of the Royal Meteorological Society, 2017, v. 143, n. 702, p. 596, doi. 10.1002/qj.2953
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Effects of all-sky assimilation of GCOM-W/AMSR2 radiances in the ECMWF numerical weather prediction system.
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- Quarterly Journal of the Royal Meteorological Society, 2016, v. 142, n. 695, Part B, p. 721, doi. 10.1002/qj.2669
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Investigating the impact of the water-vapour sounding observations from SAPHIR on board Megha-Tropiques for the ARPEGE global model.
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- Quarterly Journal of the Royal Meteorological Society, 2015, v. 141, n. 690, p. 1769, doi. 10.1002/qj.2478
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Tidal effects on stratospheric temperature series derived from successive advanced microwave sounding units.
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- Quarterly Journal of the Royal Meteorological Society, 2015, v. 141, n. 687, p. 477, doi. 10.1002/qj.2368
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