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202 results for “water vapor”
Water vapor isotopic data of short-duration heavy rainfall events in Nanjing
<p>Water vapor isotopic data of short-duration heavy rainfall events in Nanjing</p>
Nadir Atmospheric Water Vapor Retrievals from TGO's NOMAD/LNO
<p>Retrieved water vapor columns from the Trace Gas Orbiter's NOMAD/LNO instrument. </p>
Atmospheric water vapor stable isotopes on the Asian Water Towers
<p>This deposit contains three datasets that we used in the study about the moisture budget on the Asian Water Towers which is under review. Each dataset is described as follows:</p> <ol> <li>Box observation data: this dataset contains the observed vertical profiles and surface series of atmospheric water vapor stable isotopes during the observation period, together with observed precipitation and lake water isotopic values.</li> <li>Vertical Profiles daily data: The dataset provides the in-situ vertical profiles of atmospheric water vapor stable isotopes and simultaneous meteorological data at Lulang and Nam Co when we observed the highest or extreme profiles.</li> <li>Anomalies with height: The dataset presents anomalies of vertical profiles at Lulang in winter and spring as well as those at Nam Co in spring. The anomalies of surface observations calculated relative to the surface daily averaged values are also provided in this Excel file.</li> </ol>
Aerosol, Temperature and Water Vapor profiling during the BIOSPHERE Athens Campaign (June-August 2023) - NTUA
<p>Level 3 of the lidar data obtained by the EOLE and DEPOLE lidar systems in the National Technical University of Athens (NTUA), during the EURAMET European Partnership on Metrology (EPM) project BIOSPHERE at June 2023. </p>
Comparison of Convective Water Vapor Ablation (Convective Water Vapor Energy, WAVE™) With the Rezum™ System Versus Holmium Laser Enucleation of the Prostate (HoLEP) Versus Bipolar Transurethral Resect
ClinicalTrials.gov study NCT07204002. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Optimized Water Vapor Thermal Therapy for Benign Prostatic Hyperplasia
ClinicalTrials.gov study NCT06607094. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Impact of Endovenous Water Vapor Treatment on Quality of Life in Superficial Venous Insufficiency of the Lower Limbs
ClinicalTrials.gov study NCT04534244. IPD Sharing: Not stated. Countries: 0. Publications: 0.
TES/Aura L2 Water Vapor Nadir Special Observation V007
TL2H2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.” A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these se
Nimbus Temperature-Humidity Infrared Radiometer 6.7 µm Water Vapor Swath L1, HDF5 V001
This data set (NmTHIR67-1H) consists of daily, global radiative temperatures measured in the 6.7 µm window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. The THIR 6.7 µm window was used to map the water vapor distribution in the upper troposphere and stratosphere.
CDDIS SESES MEaSUREs products precipitable water vapor
Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are long-term time series of precipitable water vapor (PWV) at geodetic (global and regional) stations.
Multilayer Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS V001
This multilayer data set includes standard MODIS Collection 6.1 ice surface temperature (IST) and derived melt map, as well as MODIS Collection 6.0 albedo and water vapor for Greenland, at a spatial resolution of 0.78 km. These fields enable the relationship between IST and surface melt to be evaluated by researchers studying surface changes on the Greenland ice sheet. Water vapor is included to assist with evaluating the accuracy of the IST data and the model output. Also included is an ice mask and a basins mask for delineating drainage basins in Greenland. Surface temperature is a fundamental input for dynamical ice sheet models because it is a component of the ice sheet radiation budget and mass balance. Surface temperature also influences ice sheet processes, such as surface melt. This data set may be used as a resource for model-validation studies such as comparing MERRA-2 surface temperature with MODIS IST, and for comparing MODIS IST, albedo and water vapor with products from sensors on other satellites such as VIIRS and AIRS The temporal coverage for this data set spans 1 March 2000 through 31 December 2019, with the exception of the IST data, which has been extended through 31 Aug 2021.
Nimbus Temperature-Humidity Infrared Radiometer 6.7 µm Water Vapor Remapped Digital Data Daily L3, GeoTIFF V001
This data set (NmTHIR67-3G) consists of daily, global composites of radiative temperatures obtained in the 6.7 µm water vapor window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. The THIR 6.7 µm window was used to map the water vapor distribution in the upper troposphere and stratosphere. Data files are GeoTIFF versions of the HDF-formatted equatorial projection file only from the Nimbus Temperature-Humidity Infrared Radiometer 6.7 µm Water Vapor Remapped Digital Data Daily, HDF5 (<a href="http://dx.doi.org/10.5067/NIMBUS/NmTHIR67-3H">NmTHIR67-3H</a>) data set.
Lidar Atmopheric Sensing Experiment (LASE) Data Obtained During the ARM-FIRE Water Vapor Experiment (AFWEX)
LASE_AFWEX data are Lidar Atmospheric Sensing Experiment water vapor and aerosol data measurements taken during ARM-FIRE (Atmospheric Radiation Measurement - First ISCCP (International Satellite Cloud Climatology Project) Regional Experiment Water Vapor Experiment (AFWEX)Lidar Atmospheric Sensing Experiment (LASE) is an airborne autonomous DIfferential Absorption Lidar (DIAL) system developed to measure water vapor, aerosol, and cloud profiles. These measurements can be used in various atmospheric investigations, including studies of air mass modification, latent heat flux, the water vapor component of the hydrologic cycle, and atmospheric transport using water vapor as a tracer of atmospheric motions. The simultaneous measurement of aerosol and cloud distributions can provide important information on atmospheric structure and transport, and many meteorological parameters can also be inferred from these data.The LASE ARM-FIRE Water Vapor Experiment (AFWEX) field experiment was conducted from November 27 - December 15, 2000 at the ARM Southern Great Plains Cloud and Radiation Testbed (CART) Site site in Lamont, Oklahoma. The goals of the mission were to characterize and improve the accuracy of water vapor measurements under a wide variety of conditions. LASE airborne lidar produces measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface. AFWEX consisted of both airborne and ground-based instruments. The main result of AFWEX was to demonstrate that, with careful analysis, a core group of 5 instruments was accurate at the 5% level for the profile of water vapor.
Multilayer Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS V001
This multilayer data set includes standard MODIS Collection 6.1 ice surface temperature (IST) and derived melt map, as well as MODIS Collection 6.0 albedo and water vapor for Greenland, at a spatial resolution of 0.78 km. These fields enable the relationship between IST and surface melt to be evaluated by researchers studying surface changes on the Greenland ice sheet. Water vapor is included to assist with evaluating the accuracy of the IST data and the model output. Also included is an ice mask and a basins mask for delineating drainage basins in Greenland. Surface temperature is a fundamental input for dynamical ice sheet models because it is a component of the ice sheet radiation budget and mass balance. Surface temperature also influences ice sheet processes, such as surface melt. This data set may be used as a resource for model-validation studies such as comparing MERRA-2 surface temperature with MODIS IST, and for comparing MODIS IST, albedo and water vapor with products from sensors on other satellites such as VIIRS and AIRS The temporal coverage for this data set spans 1 March 2000 through 31 December 2019, with the exception of the IST data, which has been extended through 31 Aug 2021.
TES/Aura L2 Water Vapor Nadir V007
TL2H2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.” A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb s
Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) By Prabhakara
SMMR_IWV_PRABHAKARA data are Special Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) data by Prabhakara.The Scanning Multichannel Microwave Radiometer (SMMR) Prabhakara integrated atmospheric water vapor (IWV) files were generated by Dr. Prabhakara Cuddapah at the Goddard Space Flight Center (GSFC) using SMMR Antenna Temperatures. A discussion of the SMMR Antenna Temperatures is available from the Langley Research Center Distributed Active Archive Center (DAAC). Each IWV file contains one month of 3 degree by 5 degree gridded mean water vapor. A scale factor of 0.1 must be applied to convert the data into units of g/cm2. The data spans the period from October 1979 to September 1983.
Nimbus Temperature-Humidity Infrared Radiometer 6.7 µm Water Vapor Remapped Digital Data Daily L3, HDF5 V001
This data set (NmTHIR67-3H) consists of daily, global composites of radiative temperatures measured in the 6.7 µm water vapor window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) onboard the Nimbus 4 satellite. The composites were constructed from Nimbus 4 THIR <a href="http://nsidc.org/data/nmthir67-1h/">swath data</a> and show water vapor distribution in the upper troposphere and stratosphere.
Data and code used in the article "Integrating multiphysics processes with deep learning for the Prediction of coupled water-vapor-heat water fluxes in unsaturated zone"
<p>《Integrating multiphysics processes with deep learning for the Prediction of coupled water-vapor-heat water fluxes in unsaturated zone》 (the paper has been submitted to <em>Water Resources Research</em>). The data and code used in the paper, specifically, the water content data and temperature data from in-situ observations from July 1, 2020 to August 29, 2020 (with a frequency of observations of 5 min), and the sample code for implementing cpinn using python (mainly the tensorflow library). These data can help readers better understand and replicate our study. All data and code have been uploaded.</p> <p>The paper has been submitted to <em>Water Resources Research</em>, if the paper is accepted for publication, all data will be made freely available.</p> <p>.</p> <p> </p>
Dataset for the manuscript of the" The effect of water vapor on methane adsorption in the nanopores of shale"
<p>Dataset for the manuscript of the" The effect of water vapor on methane adsorption in the nanopores of shale"</p>
Dynamic model for the simultaneous adsorption of water vapor and methane on shales
<p>Dynamic model for the simultaneous adsorption of water vapor and methane on shales</p>
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