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270 results for “climatological”
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).
[old/mistake] Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones"
<p>Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones" by Ikehata and Satoh</p> <p>Please download and decompress the zip file. We describe details of this dataset in "readme.txt".</p>
International Satellite Cloud Climatology Project (ISCCP)
International Satellite Cloud Climatology Project (ISCCP) focuses on the distribution and variation of cloud radiative properties to improve the understanding of the effects of clouds on climate, the radiation budget, and the long-term global hydrologic cycle.
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (d0s, DOY 185-361)
<p>This dataset includes the second half of the 8-day climatology fields (d0s, DOY 185-361) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The d0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (d0s, DOY 001-177)
<p>This dataset includes the first half of the 8-day climatology fields (d0s, DOY 001-177) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The d0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of d0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (z0s, DOY 185-361)
<p>This dataset includes the second half of the 8-day climatology fields (z0s, DOY 185-361) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The z0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (z0s, DOY 001-177)
<p>This dataset includes the first half of the 8-day climatology fields (z0s, DOY 001-177) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The z0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (long-term per-pixel averages)
<p>This dataset includes long-term per-pixel (z0t and d0t) climatology fields for 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025) as well as the long-term land cover map used to derive per-class information. </p> <p>The z0 and d0 fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0 and d0 are meters, with 255.0 referring to no-data.</p> <p>The land cover field has identical consists of the long-term MODIS land cover classification (IGBP legend). Its spatial characteristics are identical to the roughness fields, but data are formatted as unsigned characters (i.e., 8-bit unsigned integers) with no-data and water set to 255.</p> <p>All files are compressed with gzip and packaged with tar.</p>
The role of surface shortwave flux correction in reducing climatological temperature biases
<p>Coupled ocean-atmosphere climate models suffer from a number of climatological biases in sea surface temperature (SST) such as the cold tongue bias in the tropical Pacific, and warm biases along eastern subtropical ocean boundaries (e.g. Zheng et al. 2011; Erfani and Burls, 2019). </p> <p>Here, we investigate the possibility of reducing these biases within both low and high-resolution versions of a fully coupled climate model (CESM) by globally (and regionally) correcting the net shortwave (SW()*) flux at the surface towards values derived from Clouds and Earth's Radiant Energy Systems (CERES)-Energy Balanced And Filled (EBAF) climatological estimates</p>
OMI/Aura Surface Reflectance Climatology L3 Global Gridded 0.5 degree x 0.5 degree V3 (OMLER) at GES DISC
The OMI Earth Surface Reflectance Climatology product, OMLER (Global 0.5 degrees Lat/Lon grid) which is based on Version 003 Level-1B top of atmosphere upwelling radiance and incoming irradiance. OMI calibrated and geolocated radiances from 159 channels in UV1(264-311 nm), 557 channels in UV2 (307-383 nm) and 751 channels in VIS (349-504) spectral regions, spectral irradiances, calibration measurements, and all derived geophysical atmospheric products (Level-2 and 3) are archived at the NASA Goddard DAAC.OMLER spectral surface reflectance product contains monthly and yearly climatology of the Earth's surface Lambert Equivalent Reflectance (LER) for 23 wavelengths in the spectral range 309 to 500 nm, at a spatial resolution of 0.5 by 0.5 degrees. This LER is defined as the required reflectance of an isotropic surface needed to match the observed top of the atmosphere (TOA) reflectance in a pure Rayleigh scattering atmosphere under cloud free conditions and no aerosols. The climatology is based on statistical analysis of the three years of OMI version 03 radiance data (Oct 2004-Oct 2007). This product also provides minimum spectral surface reflectivity observed during the three year period.The OMLER product file is produced in the version 5 Hierarchical Data Format (HDF-EOS5). It is roughly 300 MB in size.
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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)
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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.