摘要：Abstract. We present hourly climate data to force land surfaceprocess models and assessments over the Merced and Tuolumne watersheds inthe Sierra Nevada, California, for the water year 2010–2014 period. Climatedata (38 stations) include temperature and humidity (23), precipitation(13), solar radiation (8), and wind speed and direction (8), spanning anelevation range of 333 to 2987m. Each data set contains raw data asobtained from the source (Level 0), data that are serially continuous withnoise and nonphysical points removed (Level 1), and, where possible, datathat are gap filled using linear interpolation or regression with a nearbystation record (Level 2). All stations chosen for this data set were knownor documented to be regularly maintained and components checked andcalibrated during the period. Additional time-series data included areavailable snow water equivalent records from automated stations (8) andmanual snow courses (22), as well as distributed snow depth and co-locatedsoil moisture measurements (2–6) from four locations spanning therain–snow transition zone in the center of the domain. Spatial datalayers pertinent to snowpack modeling in this data set are basin polygonsand 100m resolution rasters of elevation, vegetation type, forest canopycover, tree height, transmissivity, and extinction coefficient. All data areavailable from online data repositories (https://doi.org/10.6071/M3FH3D).
