This README.txt file was generated on 2023-06-09 by Edward Bair GENERAL INFORMATION 1. Title of Dataset: SPIReS-MODIS-ParBal Snow Water Equivalent Reconstruction: Western USA, water years 2001-2021 2. Author Information A. Principal 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@eri.ucsb.edu 3. Date of data collection (single date, range, approximate date) : 2000-10-1 through 2021-9-30 4. Geographic location of data collection : Western USA 5. Information about funding sources that supported the collection of the data: see Bair, E. H., Dozier, J., Rittger, K., Stillinger, T., Kleiber, W., and Davis, R. E.: How do tradeoffs in satellite spatial and temporal resolution impact snow water equivalent reconstruction?, The Cryosphere, https://doi.org/10.5194/tc-2022-230, in press. 1. 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Links to publications that cite or use the data: Bair, E. H., Dozier, J., Rittger, K., Stillinger, T., Kleiber, W., and Davis, R. E.: How do tradeoffs in satellite spatial and temporal resolution impact snow water equivalent reconstruction?, The Cryosphere, https://doi.org/10.5194/tc-2022-230, in press. 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): Bair, E.H., Stillinger, T., and Dozier, J. (2021) Snow Property Inversion from Remote Sensing (SPIReS), IEEE Transactions on Remote Sensing and Geoscience, doi: 10.1109/TGRS.2020.3040328 6. Recommended citation for this dataset: Bair, E.H., SPIReS-MODIS-ParBal Snow Water Equivalent Reconstruction: Western USA, water years 2001-2021 , 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: Bair, E. H., Dozier, J., Rittger, K., Stillinger, T., Kleiber, W., and Davis, R. E.: How do tradeoffs in satellite spatial and temporal resolution impact snow water equivalent reconstruction?, The Cryosphere, https://doi.org/10.5194/tc-2022-230, in press. 2. Methods for processing the data: https://github.com/edwardbair/ParBal 3. Instrument- or software-specific information needed to interpret the data: 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: 2021.h5 (example water year) 1. Number of variables: 4 2. Number of cases/rows: 4800x7200x365 3. Variable List: The projection is the MODIS sinusoid with 463 m 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 max swe dates (maxawedates - empty array of ones), daily snow melt (melt, mm), daily reconstructed SWE (swe, mm), daily hybrid SWE which uses scaled GLDAS SWE for the acc. season (sweHybrid, mm). The spacetime cubes are each one day, begin on 10-1 and end on 9-30. For example, in MATLAB, this shows the structure of the WY 2021 h5 file. h5disp('reconstruction_WUS_2021.h5') HDF5 reconstruction_WUS_2021.h5 Group '/' Attributes: 'MATLABdates': 738065.000000 ... 738429.000000 'ISOdates': '20201001 ... 20210930' 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 'ReferencingMatrix': 3x2 H5T_FLOAT Dataset 'maxswedates' Size: 4800x7200 MaxSize: 4800x7200 Datatype: H5T_STD_U16LE (uint16) ChunkSize: 4800x7200 Filters: deflate(9) FillValue: 0 Dataset 'melt' Size: 4800x7200x365 MaxSize: 4800x7200x365 Datatype: H5T_STD_U16LE (uint16) ChunkSize: 4800x7200x1 Filters: deflate(9) FillValue: 65535 Attributes: 'units': 'mm' Dataset 'swe' Size: 4800x7200x365 MaxSize: 4800x7200x365 Datatype: H5T_STD_U16LE (uint16) ChunkSize: 4800x7200x1 Filters: deflate(9) FillValue: 65535 Attributes: 'units': 'mm' Dataset 'sweHybrid' Size: 4800x7200x365 MaxSize: 4800x7200x365 Datatype: H5T_STD_U16LE (uint16) ChunkSize: 4800x7200x1 Filters: deflate(9) FillValue: 65535 Attributes: 'units': 'mm' To read all the hybrid SWE values for 2021 use: sweHybrid=h5read('reconstruction_WUS_2021.h5','/Grid/sweHybrid'); 4. Missing data codes: NaN 5. Specialized formats or other abbreviations used: https://www.hdfgroup.org/solutions/hdf5/