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270 results for “climatological”
RSS MONTHLY 1-DEG MERGED WIND CLIMATOLOGY NETCDF V7R01
The Remote Sensing Systems (RSS) Monthly 1-degree Merged Wind Climatology netCDF dataset V7R01 provides global gridded wind speed data over ocean areas. This dataset contains a 12-month climatology using January 1, 1988 to March 31, 2016 data, monthly anomaly maps, a trend map with associated global and tropical wind speed time series, and a time-latitude plot. The wind climatology dataset is a merged ocean product constructed using the version-7 (V7) passive microwave geophysical ocean products made publicly available by Remote Sensing Systems (www.remss.com). Ocean wind measurements used to create this dataset were acquired from the following satellite microwave radiometers: SSM/I F08 through F15, SSMIS F16 and F17, AMSR-E, AMSR-2, and WindSat. The radiometers used to construct this dataset were inter-calibrated at the brightness temperature level, while the V7 ocean products were produced using a consistent processing methodology across sensors.
LIS/OTD 2.5 Degree Low Resolution Annual Diurnal Climatology (LRADC) V2.3.2015
The LIS/OTD 2.5 Degree Low Resolution Annual Dirunal Climatology (LRADC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRADC dataset include flash rate climatology data including scaled flash counts on a 2.5 degree grid in HDF and netCDF-4 format.
Jaeger Monthly Mean Global Precipitation Climatology 2.5 x 5.0 degree V1 (RAIN_JEAGER) at GES DISC
The Jaeger Surface Rain Gauge Observations data set consists of gridded mean monthly global precipitation values for 1931 to 1960 over the continents and 1955 to 1965 over the oceans. In order to calculate monthly, seasonal, and annual variations of precipitation over the whole globe, both hemispheres, and various meridional zones, a gridding technique was used on data spanning 1931 to 1960 over the continents, and 1955 to 1965 over the oceans. For the continental regions, the grid point values were obtained as eye estimates from isopleth maps prepared from up-to-date climatic atlases containing annual and monthly rainfall values, supplemented by other data sets. Although it was initially intended to use data for the standard period 1931-1960, this did not prove possible for all regions. Moller's (1951) method for estimating rainfall frequencies was adopted to provide ocean precipitation data. Monthly percentage frequencies were extracted from the mapped isolines of the US Marine Climatic Atlas (US Naval Weather Service 1955-1965) and interpolated to the grid points. After re-expressing the monthly frequencies as annual percentages, the values were scaled to rainfall depth units using Geiger's (1965) precipitation map to yield monthly precipitation means.
U.S. National Ice Center Arctic Sea Ice Charts and Climatologies in Gridded Format, 1972 - 2007, Version 1
Notice: Due to funding limitations, this data set was recently changed to a “Basic” Level of Service. Learn more about what this means for users and how you can share your story here: <a href="https://nsidc.org/data/user-resources/data-announcements/user-notice-level-service-update-data-products">Level of Service Update for Data Products</a>.<br><br>NOTE: The data product titled <a href="https://nsidc.org/data/G10033">U.S. National Ice Center Arctic and Antarctic Sea Ice Concentration and Climatologies in Gridded Format</a> supersedes this product. It begins with charts from January 2003 and is updated weekly. The U.S. National Ice Center (NIC) is an inter-agency sea ice analysis and forecasting center comprised of the Department of Commerce/NOAA, the Department of Defense/U.S. Navy, and the Department of Homeland Security/U.S. Coast Guard components. Since 1972, NIC has produced Arctic and Antarctic sea ice charts. This data set is comprised of Arctic sea ice concentration climatology derived from the NIC weekly or biweekly operational ice-chart time series. The charts used in the climatology are from 1972 through 2007; and the monthly climatology products are median, maximum, minimum, first quartile, and third quartile concentrations, as well as frequency of occurrence of ice at any concentration for the entire period of record as well as for 10-year and 5-year periods. These climatologies and the charts from which they are derived are provided in the 25-km Equal-Area Scalable Earth Grid (EASE-Grid) binary (.bin) format. The climatologies are also available in ArcGIS geodatabases (.mdb), and GIF format browse files (.gif) are also provided.To view the browse files and compare climatological periods visually, choose Search Database under the Download Data tab.
LIS/OTD 0.5 Degree High Resolution Monthly Climatology (HRMC) V2.3.2015
The LIS/OTD 0.5 Degree High Resolution Monthly Climatology (HRMC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRMC dataset include monthly flash rate climatology and flash rate seasonal climatology data on a 0.5 degree grid in HDF and netCDF-4 format.
REGIONAL AIR-SEA INTERACTION (RASI) GAP WIND AND COASTAL UPWELLING EVENTS CLIMATOLOGY GULF OF PANAMA, PANAMA V1
The Regional Air-Sea Interactions (RASI) Gap Wind and Coastal Upwelling Events Climatology Gulf of Panama, Panama dataset was created using an automated intelligent algorithm which identified gap wind and coastal ocean upwelling events using two satellite-based microwave datasets. The Cross-Calibrated Multi-Platform (CCMP) ocean surface wind data product was used for wind data while the Optimally Interpolated Sea Surface Temperatures (OISST) data product provided by Remote Sensing Systems was used for sea surface temperatures. Data is available from January 1, 1998 through December 31, 2011 for Gulf of Panama, Panama. The RASI datasets are products resulting from DISCOVER, a NASA MEaSUREs-funded project.
Global Space-based Stratospheric Aerosol Climatology Version 2.21
The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 44-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and later from mid-2017 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis.
LIS/OTD 2.5 Degree Low Resolution Annual Climatology Time Series (LRACTS) V2.3.2015
The LIS/OTD 2.5 Degree Low Resolution Annual Climatology Time Series (LRACTS) consists of gridded climatologies of total lightning flash rates seen by the spaceborne Optical Transient Detector (OTD) and Lightning Imaging Sensor (LIS). The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRACTS dataset include annual flash rate time series data in MP4 format.
LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) V2.3.2015
The LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRMTS dataset include monthly flash rate time series data in MP4 format.
Climatological radiation generation of eddy available potential energy
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Climatological radiation eddy kinetic energy
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Climatological analysis of vegetation response to weather conditions in Emilia Romagna region (OAL-IT)
<p>The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact of extreme HM events to advance knowledge on vulnerability and exposure. In particular the focus is to document past impacts due to extreme events selected from a characterization of recent (30 years) HM events in 11 Open Air Laboratories (OALs) where co-design, co-development and deployment of NBS are taking place. The impacts were documented by applying a wide spectrum of satellite image data and other, close – range, remote sensing techniques. A better understanding of the consequences due to extreme HM events in a particular area (OALs) is essential to identify elements at risk and expected to provide a reference to evaluate the reduction of vulnerability and mitigation of risks past the completion of NBS.</p> <p>This dataset contains Remote Sensing observations for the OAL-ITALY , notably:</p> <p>- Time series of daily MODIS Land Surface Temperature (original and reconstruction with Harmonic Analysis of Time Series (HANTS) from 2001 to 2017. </p> <p>- Time series of 8 days MODIS Normalized Difference Vegetation Index (NDVI) from 2001 to 2017 (original and reconstruction (daily) with Harmonic Analysis of Time Series (HANTS) ). </p> <p>- Time series of daily normalized NDVI anomalies calculated from 2001 to 2017. </p> <p>- Time series of daily normalized LST anomalies calculated from 2001 to 2017. </p> <p>- Time series of daily Normalized Drought Anomaly Index calculated from 2001 to 2017. </p> <p> </p> <p> </p> <p> </p>
Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Climatology Files V001
This ancillary SMAP product contains a static soil moisture climatology data set. Specifically, this data set includes root zone and profile soil moisture climatology files for percentile conversion and post-processing of Land Data Assimilation Systems (LDAS) output.
Aquarius L3 Gridded 1-Degree Monthly Soil Moisture Climatology V005
This data set contains Level-3 gridded monthly global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
GPM GROUND VALIDATION OKLAHOMA CLIMATOLOGICAL SURVEY MESONET MC3E V1
The GPM Ground Validation Oklahoma Climatological Survey Mesonet MC3E data were collected during the Midlatitude Continental Convective Clouds Experiment (MC3E) in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Collected by a network of weather stations, this dataset is composed of 15 minute and 5 minute files with one file per site per day in mts format. Data can be read as ASCII text. Multiple parameters found in this dataset include relative humidity, air temperature, wind speed and direction, precipitation and calibrated soil moisture. More information on the contents and data format can be found at http://www.mesonet.org/index.php/site/about/mdf_mts_files.
MODIS/Terra Global Annual 0.01Deg CMG Snow Cover Climatology V001
This data set presents new global snow cover classification regimes derived from the MODIS Terra cloud gap-filled NDSI data (<a href="https://nsidc.org/data/mod10a1f/versions/61">MOD10A1F</a>), elevation, and temperature climatology inputs. The six data granules are available as NetCDF (.nc) files, with each containing a unique snow cover classification spanning 2001 to 2023. The six classifications included in this data set are: (1) snow class climatology (SSC), (2) core snow season length (CSS), (3) snow cover duration (SCD), (4) full snow season length (FSS), (5) snow persistence (SP), and (6) snow season persistence (SSP).
Aquarius L3 Gridded 1-Degree Seasonal Soil Moisture Climatology V005
This data set contains Level-3 gridded seasonal global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
Aquarius L3 Gridded 1-Degree Monthly Soil Moisture Climatology V005
This data set contains Level-3 gridded monthly global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary FPAR Climatology V001
This ancillary SMAP product contains a static climatology data set. The climatology data is derived from MODIS Fractional Photosynthetically Active Radiation (FPAR) models and represents a global 8-day average.
Aquarius L3 Gridded 1-Degree Seasonal Soil Moisture Climatology V005
This data set contains Level-3 gridded seasonal global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.