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SWE_PRE_by_elevation_JAN.csv

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https://ir.library.oregonstate.edu/concern/datasets/8623j278c

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Abstract
  • In the Pacific Northwest, USA, the extraordinarily low snowpacks of winters 2013–2014 and 2014– 2015 stressed regional water resources and the social environmental system. We introduce two new approaches to better understand how seasonal snow water storage during these two winters would compare to snow water storage under warmer climate conditions. The first approach calculates a spatial-probabilistic metric representing the likelihood that the snow water storage of 2013–2014 and 2014–2015 would occur under +2◦C perturbed climate conditions. We computed snow water storage (basin-wide and across elevations) and the ratio of snow water equivalent to cumulative precipitation (across elevations) for the McKenzie River basin (3041 km2 ), a major tributary to the Willamette River in Oregon, USA. We applied these computations to calculate the occurrence probability for similarly low snow water storage under climate warming. Results suggest that, relative to +2◦C conditions, basin-wide snow water storage during winter 2013–2014 would be above average, while that of 20 winter 2014–2015 would be far below average. Snow water storage on 1 April corresponds to a 42 % (2013–2014) and 92 % (2014–2015) probability of being met or exceeded in any given year. Water storage in a non-stationary climate and are readily applicable in other snow-dominated watersheds.
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  • description.provenance : Approved for entry into archive by Steven Van Tuyl(steve.vantuyl@oregonstate.edu) on 2017-01-09T15:01:52Z (GMT) No. of bitstreams: 14license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5)Read me.txt: 29813 bytes, checksum: 95770794b7015db336c92142bbc2d908 (MD5)cumulativeSWE_by_elevation_and_month.csv: 16220 bytes, checksum: e41c3bacba3981f851e56b48a08ddb57 (MD5)cumulativeSWE_sum_by_month.csv: 643 bytes, checksum: afca4e6d8ff85a78eb2e580c494d3209 (MD5)SWE_exceedance_probability_by_elevation_JAN.csv: 2603 bytes, checksum: 49459e5d7f8629a77bd021e70896b12e (MD5)SWE_exceedance_probability_by_elevation_FEB.csv: 16474 bytes, checksum: 069f6c6a18fe5c5fe91184fbe4fba28d (MD5)SWE_exceedance_probability_by_elevation_MAR.csv: 16376 bytes, checksum: c4edbf7e74f1d43a76a10c541255166e (MD5)SWE_exceedance_probability_by_elevation_APR.csv: 16209 bytes, checksum: 0f31d3f5b630ee9a7b5e6a435111341f (MD5)SWE_exceedance_probability_by_elevation_MAY.csv: 15915 bytes, checksum: a649e1c6a78d9d67f844b16f0644418d (MD5)SWE_PRE_by_elevation_JAN.csv: 8605 bytes, checksum: cae64745949727e4c9bea52c97183536 (MD5)SWE_PRE_by_elevation_FEB.csv: 8610 bytes, checksum: e0eacd125e8860ccd98401cf316031b8 (MD5)SWE_PRE_by_elevation_MAR.csv: 8594 bytes, checksum: 2dce6c00af066577e8d71f28d200d328 (MD5)SWE_PRE_by_elevation_APR.csv: 12273 bytes, checksum: 41820129183f00c64709107d5c9100cc (MD5)SWE_PRE_by_elevation_MAY.csv: 12006 bytes, checksum: d02000e161f6031b403763a59a817e59 (MD5)
  • description.provenance : Submitted by Steven Van Tuyl (steve.vantuyl@oregonstate.edu) on 2017-01-09T15:00:00ZNo. of bitstreams: 14license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5)Read me.txt: 29813 bytes, checksum: 95770794b7015db336c92142bbc2d908 (MD5)cumulativeSWE_by_elevation_and_month.csv: 16220 bytes, checksum: e41c3bacba3981f851e56b48a08ddb57 (MD5)cumulativeSWE_sum_by_month.csv: 643 bytes, checksum: afca4e6d8ff85a78eb2e580c494d3209 (MD5)SWE_exceedance_probability_by_elevation_JAN.csv: 2603 bytes, checksum: 49459e5d7f8629a77bd021e70896b12e (MD5)SWE_exceedance_probability_by_elevation_FEB.csv: 16474 bytes, checksum: 069f6c6a18fe5c5fe91184fbe4fba28d (MD5)SWE_exceedance_probability_by_elevation_MAR.csv: 16376 bytes, checksum: c4edbf7e74f1d43a76a10c541255166e (MD5)SWE_exceedance_probability_by_elevation_APR.csv: 16209 bytes, checksum: 0f31d3f5b630ee9a7b5e6a435111341f (MD5)SWE_exceedance_probability_by_elevation_MAY.csv: 15915 bytes, checksum: a649e1c6a78d9d67f844b16f0644418d (MD5)SWE_PRE_by_elevation_JAN.csv: 8605 bytes, checksum: cae64745949727e4c9bea52c97183536 (MD5)SWE_PRE_by_elevation_FEB.csv: 8610 bytes, checksum: e0eacd125e8860ccd98401cf316031b8 (MD5)SWE_PRE_by_elevation_MAR.csv: 8594 bytes, checksum: 2dce6c00af066577e8d71f28d200d328 (MD5)SWE_PRE_by_elevation_APR.csv: 12273 bytes, checksum: 41820129183f00c64709107d5c9100cc (MD5)SWE_PRE_by_elevation_MAY.csv: 12006 bytes, checksum: d02000e161f6031b403763a59a817e59 (MD5)
  • description.provenance : Made available in DSpace on 2017-01-09T15:01:52Z (GMT). No. of bitstreams: 14license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5)Read me.txt: 29813 bytes, checksum: 95770794b7015db336c92142bbc2d908 (MD5)cumulativeSWE_by_elevation_and_month.csv: 16220 bytes, checksum: e41c3bacba3981f851e56b48a08ddb57 (MD5)cumulativeSWE_sum_by_month.csv: 643 bytes, checksum: afca4e6d8ff85a78eb2e580c494d3209 (MD5)SWE_exceedance_probability_by_elevation_JAN.csv: 2603 bytes, checksum: 49459e5d7f8629a77bd021e70896b12e (MD5)SWE_exceedance_probability_by_elevation_FEB.csv: 16474 bytes, checksum: 069f6c6a18fe5c5fe91184fbe4fba28d (MD5)SWE_exceedance_probability_by_elevation_MAR.csv: 16376 bytes, checksum: c4edbf7e74f1d43a76a10c541255166e (MD5)SWE_exceedance_probability_by_elevation_APR.csv: 16209 bytes, checksum: 0f31d3f5b630ee9a7b5e6a435111341f (MD5)SWE_exceedance_probability_by_elevation_MAY.csv: 15915 bytes, checksum: a649e1c6a78d9d67f844b16f0644418d (MD5)SWE_PRE_by_elevation_JAN.csv: 8605 bytes, checksum: cae64745949727e4c9bea52c97183536 (MD5)SWE_PRE_by_elevation_FEB.csv: 8610 bytes, checksum: e0eacd125e8860ccd98401cf316031b8 (MD5)SWE_PRE_by_elevation_MAR.csv: 8594 bytes, checksum: 2dce6c00af066577e8d71f28d200d328 (MD5)SWE_PRE_by_elevation_APR.csv: 12273 bytes, checksum: 41820129183f00c64709107d5c9100cc (MD5)SWE_PRE_by_elevation_MAY.csv: 12006 bytes, checksum: d02000e161f6031b403763a59a817e59 (MD5)

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