Reconstructing solid precipitation from snow depth measurements and a land surface model

摘要: [1] The amount and distribution of snowfall in the Arctic has significant effects on global climate. However, measurements from gauges are strongly biased. A new method is described for reconstructing observed snow depth records, meteorological observations, running NASA Seasonal-to-Interannual Prediction Project Catchment Land Surface Model (NSIPP CLSM) an inverse mode. This developed tested with observations Reynolds Creek Experimental Watershed. Results show can be accurately reconstructed basis how much must have fallen to produce depth. The mean cumulative error (bias) precipitation 11 seasons 29 mm water equivalent (SWE) corrected gauge measurement compared ‒77 SWE gauges. means root-mean-square solid 30% less than that corrections. intended application this pan-Arctic landmass, where estimates highly uncertain but more 60 years historical air temperature records exist.