This README.txt file was generated on 2021-10-12 by Edward Bair GENERAL INFORMATION 1. Title of Dataset: MODSCAG/DRFS: Indus fractional snow cover and snow surface properties, calendar years 2001-2020 2. Author Information A. Principal Investigator Contact Information Name: Karl Rittger Institution: Institute of Arctic and Alpine Research, University of Colorado, Boulder Address: 4001 Discovery Drive University of Colorado Boulder, CO 80303 USA Email: karl.rittger@colorado.edu B. Associate or Co-investigator Contact Information Name: Edward Bair Institution: Earth Research Institute, University of California, Santa Barbara Address: 6832 Ellison Hall University of California Santa Barbara, CA 93106-3060 Email: nbair@rei.ucsb.edu C. Alternate Contact Information Name: Institution: Email: 3. Date of data collection (single date, range, approximate date) : 2001-1-01 through 2020-11-12 4. Geographic location of data collection : Indus River Basin 5. Information about funding sources that supported the collection of the data: California Department of Fish and Wildlife, NASA award 80NSSC18K1489; NASA award 80NSSC18K0427; NOAA award NA18OAR4590380, and University of California award LFR-18- 54831. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. 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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? yes A. If yes, list source(s): Vermote, E., Wolfe, R. (2015). MOD09GA MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2021-10-12 from https://doi.org/10.5067/MODIS/MOD09GA.006 6. Recommended citation for this dataset: Rittger, K., MODSCAG/DRFS: Indus fractional snow cover and surface properties, calendar years 2001-2020, version 1, Santa Barbara, CA USA, Earth Research Institute, doi: [tbd], [date accessed] DATA & FILE OVERVIEW 1. File List: 2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? no A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Dozier, J., Painter, T. H., Rittger, K., & Frew, J. E. (2008). Time-space continuity of daily maps of fractional snow cover and albedo from MODIS. Advances in Water Resources, 31, 1515-1526. https://doi.org/10.1016/j.advwatres.2008.08.011 Painter, T. H., Rittger, K., McKenzie, C., Slaughter, P., Davis, R. E., & Dozier, J. (2009). Retrieval of subpixel snow-covered area, grain size, and albedo from MODIS. Remote Sensing of Environment, 113, 868-879. https://doi.org/10.1016/j.rse.2009.01.001 Painter, T. H., Bryant, A. C., & Skiles, S. M. (2012). Radiative forcing by light absorbing impurities in snow from MODIS surface reflectance data. Geophysical Research Letters, 39, L17502. https://doi.org/10.1029/2012GL052457 Rittger, K., Raleigh, M. S., Dozier, J., Hill, A. F., Lutz, J. A., & Painter, T. H. (2020). Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping. Water Resources Research, 56, e2019WR024914. https://doi.org/https://doi.org/10.1029/2019WR024914 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret the data: https://github.com/edwardbair/SPIRES/tree/master/MODIS_HDF 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: DATA-SPECIFIC INFORMATION FOR: Indus_MODSCAG_463m_sinusoidal_CY2020.h5 (example water year) 1. Number of variables: 3 2. Number of cases/rows: 2400x7200x317 (for 2020, other years have 365/266 days) 3. Variable List: The projection is MODIS sinusoid with 463 m square pixels. The h5 files can be read with several software packages. We use MATLAB. The h5 files contain: MATLAB matdates, geographic information, spacetime cubes of snow fraction, grain size (um), and deltavis (the darkening from dust over the 0.350-0.786 um). The spacetime cubes are each one day, begin on 1-1 and end on 12-31. For example, in MATLAB, this shows the structure of the CY 2020 h5 file. h5disp('Indus_MODSCAG_463m_sinusoidal_CY2020.h5') HDF5 Indus_MODSCAG_463m_sinusoidal_CY2020.h5 Group '/' Attributes: 'MATLABdates': 737791.000000 738107.000000 'ISOdates': 2020001.000000 2020317.000000 Group '/Grid' Attributes: 'mapprojection': 'sinusoid' 'angleunits': 'degrees' 'aspect': 'normal' 'falsenorthing': 0.000000 'falseeasting': 0.000000 'geoid': 6371007.181000 0.000000 'maplatlimit': -90.000000 90.000000 'maplonlimit': -180.000000 180.000000 'mapparallels': 0.000000 'nparallels': 0.000000 'origin': 0.000000 0.000000 0.000000 'scalefactor': 1.000000 'trimlat': -90.000000 90.000000 'trimlon': -180.000000 180.000000 Group '/Grid/MODIS_GRID_500m' Attributes: 'ReferencingMatrix': 3x2 H5T_FLOAT Dataset 'deltavis' Size: 2400x7200x317 MaxSize: 2400x7200x317 Datatype: H5T_STD_U8LE (uint8) ChunkSize: 2400x7200x1 Filters: deflate(1) FillValue: 255 Attributes: 'divisor': 100.000000 Dataset 'grain_size' Size: 2400x7200x317 MaxSize: 2400x7200x317 Datatype: H5T_STD_U16LE (uint16) ChunkSize: 2400x7200x1 Filters: deflate(1) FillValue: 65535 Attributes: 'divisor': 1.000000 'units': 'mu_m' Dataset 'snow_fraction' Size: 2400x7200x317 MaxSize: 2400x7200x317 Datatype: H5T_STD_U8LE (uint8) ChunkSize: 2400x7200x1 Filters: deflate(1) FillValue: 255 Attributes: 'divisor': 100.000000 To read all the SWE values for 2020 use either fsca=h5read('Indus_MODSCAG_463m_sinusoidal_CY2020.h5','/Grid/MODIS_GRID_500m/snow_fraction'); or use GetEndmember.m from the Git repository, e.g., fsca=GetEndmember('Indus_MODSCAG_463m_sinusoidal_CY2020.h5','snow'); GetEndmember can also be used to retrieve a set of days without reading the entire cube, e.g., fsca_day=GetEndmember('Indus_MODSCAG_463m_sinusoidal_CY2020.h5','snow',datenum([2020 4 1])); 4. Missing data codes: NaN 5. Specialized formats or other abbreviations used: https://www.hdfgroup.org/solutions/hdf5/