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57 results for “Water masses”
JPL GRACE/GRACE-FO Gridded-AOD1B Water-Equivalent-Thickness Surface-Mass Anomaly RL06.3 dataset for Tellus Level-3 mascon 0.5-degree grid
GRACE non-tidal high-frequency atmospheric and oceanic mass variation models are routinely generated at GFZ as so-called Atmosphere and Ocean De-aliasing Level-1B (AOD1B) products (in terms of corresponding spherical harmonic geopotential coefficients) to be added to the background static gravity model during GRACE monthly gravity field determination. AOD1B products are 3-hourly series of spherical harmonic coefficients up to degree and order 180 which are routinely provided to the GRACE Science Data System and the user community with only a few days time delay. These products reflect spatio-temporal mass variations in the atmosphere and oceans deduced from an operational atmospheric model and corresponding ocean dynamics provided by an ocean model. The variability is derived by subtraction of a long-term mean of vertical integrated atmospheric mass distributions and a corresponding mean of ocean bottom pressure as simulated with the ocean model.<br><br>The Gridded AOD1B data sets provided here contain the monthly mean AOD1B data in geolocated gridded form, smoothed or spatially aggregated to be consistent with the GRACE and GRACE-FO Tellus Level-3 data products of land and/or ocean mass anomalies. With these gridded AOD1B Level-3 products, users can remove or add the effects of the modeled mean monthly atmospheric and ocean bottom pressure change (e.g., to compare different models).
CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.3 version 04
This data set is produced by the Center for Space Research (CSR) GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br>GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this release 06.3 is an updated version of the Level 3 products in coordination with the release of the analogous Level 2 products used to generate them. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.
CSR TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
JPL TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
JPL TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.3 version 04
This data set is produced by the Jet Propulsion Laboratory (JPL) as part of the GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br>GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this RL06.3 is an updated release of the previous RL06.1. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.
GFZ TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
GFZ TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.3 version 04
This data set is produced by the German Research Centre for Geosciences (GFZ) as part of the GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br>GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this release 06.3 is an updated version of the Level 3 products in coordination with the release of the analogous Level 2 products used to generate them. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.
JPL GRACE/GRACE-FO Gridded-AOD1B Water-Equivalent-Thickness Surface-Mass Anomaly RL06.3 dataset for Tellus Level-3 1.0-degree grid
GRACE non-tidal high-frequency atmospheric and oceanic mass variation models are routinely generated at GFZ as so-called Atmosphere and Ocean De-aliasing Level-1B (AOD1B) products (in terms of corresponding spherical harmonic geopotential coefficients) to be added to the background static gravity model during GRACE monthly gravity field determination. AOD1B products are 3-hourly series of spherical harmonic coefficients up to degree and order 180 which are routinely provided to the GRACE Science Data System and the user community with only a few days time delay. These products reflect spatio-temporal mass variations in the atmosphere and oceans deduced from an operational atmospheric model and corresponding ocean dynamics provided by an ocean model. The variability is derived by subtraction of a long-term mean of vertical integrated atmospheric mass distributions and a corresponding mean of ocean bottom pressure as simulated with the ocean model.<br><br>The Gridded AOD1B data sets provided here contain the monthly mean AOD1B data in geolocated gridded form, smoothed or spatially aggregated to be consistent with the GRACE and GRACE-FO Tellus Level-3 data products of land and/or ocean mass anomalies. With these gridded AOD1B Level-3 products, users can remove or add the effects of the modeled mean monthly atmospheric and ocean bottom pressure change (e.g., to compare different models).
Water mass distributions during winter on the East China Sea shelf using an extended OMP analysis
<p>The result of the eOMP analysis, perturbation analysis of SWT properties, and perturbation analysis of SWT properties and Redfield ratios</p>
Visualization of the Multidimensional Volumetric Data-base by Video - Mapping Technology in field of Operational Oceanography (Algerian basin) (zooplankton expressed as carbon in sea water - mass concentration of chllorophyl a in sea water,Wekeo Data ) During 2022 year : (educational support resource in space oceanography)
<p>The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985)</strong>,</p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014)</strong>.</p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation)</p> <p> </p> <p><strong>Bibliographic reference:</strong><br> <strong>-Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</strong></p> <p> </p>
Water Method in Low-body Mass Index (BMI) Female Patients With Unsedated Colonoscopy
ClinicalTrials.gov study NCT01546259. IPD Sharing: Not stated. Countries: 1. Publications: 0.
JPL TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04 in netCDF/ASCII/GeoTIFF Formats
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
Bio-optical properties of the different water masses in the Gulf of St. Lawrence
The St. Lawrence ecosystem is a complex environment influenced by a variety of physical forces (runoff, winds, tides, bathymetry) that sustains a diverse food web going from phytoplankton to whales. Chlorophyll concentration is thus an important variable to measure at the scale of the ecosystem. Because of its large size, remote sensing is the only available tool to measure chlorophyll distribution in the St. Lawrence using ocean color imagery. To fully utilize this type of data, it is however important to have a sound knowledge of the bio-optical properties of the different water masses in the system. A St. Lawrence SeaWiFS program was thus built to gather this knowledge beginning in 1997.
Distribution, seasonality, and water-mass transformation of temperature and salinity inversions in the southern Yellow Sea
<p>This dataset contains the used data at Stn. H08 obtained by ADCP and those transect stations obtained by CTD during the spring and summer cruises from 2017 to 2022. It is a supplementary of the manuscript "Distribution, seasonality, and water-mass transformation of temperature and salinity inversions in the southern Yellow Sea". Please let me know if you need any more information.</p>
Dataset: Water and Nutrient Mass Balances of Upper Klamath Lake, WY 1992-2018.
<p>Monthly and annual water and nutrient (total phosphorus and total nitrogen) mass balances were developed for Upper Klamath Lake (UKL) over water year (WY) 1992-2018. UKL is a shallow, hyper-eutrophic lake located in south-central Oregon, USA. The water and nutrient balances were computed using available flow and water quality sampling data for various inflow sources and the lake outflow. Changes in water and nutrient mass storage were computed from measured lake surface elevations using elevation-area-volume curves based on the lake bathymetry, and biweekly water quality sampling. The net retention of nutrients were computed by difference from the other measured or estimated inflow, outflow, and storage terms. </p> <p>The data sources and methodologies used to generate this dataset are described in the following report:</p> <ul> <li><em>Walker, Jeffrey D, & Kann, Jacob. (2022). Water and Nutrient Balances of Upper Klamath Lake, Water Years 1992–2018. Zenodo. <a href="https://doi.org/10.5281/zenodo.6607800">https://doi.org/10.5281/zenodo.6607800</a></em></li> </ul> <p>This repository contains the following files:</p> <ul> <li><strong>ukl-mb-mon.csv</strong>: monthly flows, loads, and flow-weighted mean (FWM) concentrations of total phosphorus (TP) and total nitrogen (TN) for each mass balance term</li> <li><strong>ukl-mb-wyr.csv</strong>: annual flows, loads, and flow-weighted mean (FWM) concentrations of TP and TN for each mass balance term based on water years (WY = Oct 1 - Sep 30; e.g., WY 2018 = Oct 1, 2017 - Sep 30, 2018)</li> </ul> <p>Mass balance terms include:</p> <ul> <li><strong>tribs_7mile_dike</strong>: Sevenmile Canal @ Dike Road (outlet to Agency Lake)</li> <li><strong>tribs_wood_dike</strong>: Wood River @ Dike Road (outlet to Agency Lake)</li> <li><strong>tribs_wood_dike-weed</strong>: Wood River between Dike and Weed Roads</li> <li><strong>tribs_wood_weed</strong>: Wood River @ Weed Road</li> <li><strong>tribs_sprague</strong>: Sprague River</li> <li><strong>tribs_williamson-sprague</strong>: Williamson River excluding Sprague River basin</li> <li><strong>tribs_williamson</strong>: Williamson River (outlet to Upper Klamath Lake)</li> <li><strong>tribs_total</strong>: Total gauged tributaries (Sevenmile Canal + Wood River + Williamson River)</li> <li><strong>pumped_alr</strong>: Pumped inflows from Agency Lake Ranch</li> <li><strong>pumped_wrdp</strong>: Pumped inflows from Williamson River Delta Preserve (Tulana + Goose Bay)</li> <li><strong>pumped_ungauged</strong>: Pumped inflows from other ungauged agricultural areas</li> <li><strong>pumped_total</strong>: Total pumped inflows (ALR + WRDP + Ungauged Pumped Areas)</li> <li><strong>ungauged</strong>: Ungauged drainage basins</li> <li><strong>total_external</strong>: Total external inflows (Gauged Tributaries + Ungauged Basins + Pumped Areas)</li> <li><strong>precip</strong>: Precipitation (total atmospheric deposition for nutrient loads)</li> <li><strong>evap</strong>: Evaporation</li> <li><strong>net_inflow</strong>: Net inflow (Total External Inflows + Precipitation - Evaporation)</li> <li><strong>outflow</strong>: Lake outflow</li> <li><strong>storage</strong>: Lake mean storage (Upper Klamath and Agency Lakes)</li> <li><strong>dstorage</strong>: Change in lake storage</li> <li><strong>retention</strong>: Net retention</li> <li><strong>anthro</strong>: Anthropogenic inflows</li> <li><strong>background</strong>: Background inflows</li> </ul> <p>See Table D1 (Appendix D) of Walker and Kann (2022) for equations to compute flows and loads of terms derived from other directly measured or estimated terms.</p> <p>File columns:</p> <ul> <li><strong>wyear</strong>: Water year (Oct 1 - Sep 30; e.g., WY 2018 = Oct 1, 2017 - Sep 30, 2018)</li> <li><strong>date</strong>: Date on the first day of each month (monthly dataset only)</li> <li><strong>term</strong>: Mass balance term (see above)</li> <li><strong>param</strong>: Water quality parameter (tp or tn)</li> <li><strong>flow_hm3</strong>: Flow or storage volume (hm^3 = 1e6 m^3 = 0.81071 kacre-ft)</li> <li><strong>load_kg</strong>: Load or storage mass (kg = 1e-3 metric tonne or mton)</li> <li><strong>conc_ppb</strong>: Concentration (ppb = ug/L = 1e3 mg/L)</li> <li><strong>area_km2</strong>: Drainage/surface area associated with each term (km2)</li> <li><strong>runoff_m</strong>: Unit-area runoff (m) equal to flow_hm3 divided by area_km2</li> <li><strong>export_kg_km2</strong>: Nutrient export rate (kg/km2) equal to load_kg divided by area_km2</li> </ul>
Distribution, seasonality, and water-mass transformation of temperature and salinity inversions in the southern Yellow Sea
<p>This dataset contains the used data at Stn. H08 and those transect stations obtained during the spring and summer cruises from 2017 to 2022. It is a supplementary of the manuscript "Distribution, seasonality, and water-mass transformation of temperature and salinity inversions in the southern Yellow Sea". Please let me know if you need any more information.</p>
Characterization of the Ross Ice Shelf Basal Melting Variability Based on a Mixing Ratios Analysis of Simulated Water Masses
<p>These folder contains the files related to the publication submitted to the Geophysical Research Letters with the same title. It contains the files necessary to reproduce the figures of the paper submitted.</p>
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