{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:40:29Z","timestamp":1781883629363,"version":"3.54.5"},"reference-count":51,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2021,7,25]],"date-time":"2021-07-25T00:00:00Z","timestamp":1627171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA MEaSUREs","award":["NNH17ZDA001N-MEASURES"],"award-info":[{"award-number":["NNH17ZDA001N-MEASURES"]}]},{"name":"NASA Weather and Atmospheric Dynamics","award":["NNH19ZDA001N-ATDM"],"award-info":[{"award-number":["NNH19ZDA001N-ATDM"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The combination of snowfall, snow water equivalent (SWE), and precipitation rate measurements from 39 snow telemetry (SNOTEL) sites in Alaska were used to assess the performance of various precipitation products from satellites, reanalysis, and rain gauges. Observation of precipitation from two water years (2018\u20132019) of a high-resolution radar\/rain gauge data (Stage IV) product was also utilized to give insights into the scaling differences between various products. The outcomes were used to assess two popular methods for rain gauge undercatch correction. It was found that SWE and precipitation measurements at SNOTELs, as well as precipitation estimates based on Stage IV data, are generally consistent and can provide a range within which other products can be assessed. The time-series of snowfall and SWE accumulation suggests that most of the products can capture snowfall events; however, differences exist in their accumulation. Reanalysis products tended to overestimate snow accumulation in the study area, while the current combined passive microwave remote sensing products (i.e., IMERG-HQ) underestimate snowfall accumulation. We found that correction factors applied to rain gauges are effective for improving their undercatch, especially for snowfall. However, no improvement in correlation is seen when correction factors are applied, and rainfall is still estimated better than snowfall. Even though IMERG-HQ has less skill for capturing snowfall than rainfall, analysis using Taylor plots showed that the combined microwave product does have skill for capturing the geographical distribution of snowfall and precipitation accumulation; therefore, bias adjustment might lead to reasonable precipitation estimates. This study demonstrates that other snow properties (e.g., SWE accumulation at the SNOTEL sites) can complement precipitation data to estimate snowfall. In the future, gridded SWE and snow depth data from GlobSnow and Sentinel-1 can be used to assess snowfall and its distribution over broader regions.<\/jats:p>","DOI":"10.3390\/rs13152922","type":"journal-article","created":{"date-parts":[[2021,7,25]],"date-time":"2021-07-25T22:07:00Z","timestamp":1627250820000},"page":"2922","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Assessment of Snowfall Accumulation from Satellite and Reanalysis Products Using SNOTEL Observations in Alaska"],"prefix":"10.3390","volume":"13","author":[{"given":"Yang","family":"Song","sequence":"first","affiliation":[{"name":"Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, AZ 85721, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick D.","family":"Broxton","sequence":"additional","affiliation":[{"name":"School of Natural Resources and the Environment, The University of Arizona, Tucson, AZ 85721, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0202-6901","authenticated-orcid":false,"given":"Mohammad Reza","family":"Ehsani","sequence":"additional","affiliation":[{"name":"Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, AZ 85721, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7594-8793","authenticated-orcid":false,"given":"Ali","family":"Behrangi","sequence":"additional","affiliation":[{"name":"Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, AZ 85721, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1038\/nature04141","article-title":"Potential impacts of a warming climate on water availability in snow-dominated regions","volume":"438","author":"Barnett","year":"2005","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e2020JD033021","DOI":"10.1029\/2020JD033021","article-title":"Global intercomparison of atmospheric rivers precipitation in remote sensing and reanalysis products","volume":"125","author":"Arabzadeh","year":"2020","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s40641-016-0036-8","article-title":"Trends and Extremes in Northern Hemisphere Snow Characteristics","volume":"2","author":"Kunkel","year":"2016","journal-title":"Curr. Clim. Chang. Rep."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"12940","DOI":"10.1029\/2018GL079621","article-title":"Snowpack Change From 1982 to 2016 Over Conterminous United States","volume":"45","author":"Zeng","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1175\/2008BAMS2486.1","article-title":"A Database of Microwave Single-Scattering Properties for Nonspherical Ice Particles","volume":"89","author":"Liu","year":"2008","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"145","DOI":"10.3390\/rs3010145","article-title":"Detection and measurement of snowfall from space","volume":"3","author":"Levizzani","year":"2011","journal-title":"Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3957","DOI":"10.1175\/JCLI-D-13-00679.1","article-title":"An Update on the Oceanic Precipitation Rate and Its Zonal Distribution in Light of Advanced Observations from Space","volume":"27","author":"Behrangi","year":"2014","journal-title":"J. Clim."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S1464-1909(01)00070-3","article-title":"Correction of synoptic precipitation observations due to systematic measuring errors with special regard to precipitation phases","volume":"26","author":"Fuchs","year":"2001","journal-title":"Phys. Chem. Earth Part B Hydrol. Ocean. Atmos."},{"key":"ref_9","unstructured":"Goodison, B.E., Louie, P.Y.T., and Yang, D. (1998). WMO Solid Precipitation Measurement Intercomparison, World Meteorological Organization."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1002\/joc.3370100202","article-title":"Mean seasonal and spatial variability in gauge-corrected, global precipitation","volume":"10","author":"Legates","year":"1990","journal-title":"Int. J. Climatol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1175\/1525-7541(2001)002<0122:ABCSRP>2.0.CO;2","article-title":"A Bias-Corrected Siberian Regional Precipitation Climatology","volume":"2","author":"Yang","year":"2001","journal-title":"J. Hydrometeorol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"545","DOI":"10.5194\/tc-4-545-2010","article-title":"Understanding snow-transport processes shaping the mountain snow-cover","volume":"4","author":"Mott","year":"2010","journal-title":"Cryosphere"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Mott, R., Schirmer, M., and Lehning, M. (2011). Scaling properties of wind and snow depth distribution in an Alpine catchment. J. Geophys. Res. Atmos., 116.","DOI":"10.1029\/2010JD014886"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"395","DOI":"10.5194\/tc-8-395-2014","article-title":"Simulation of wind-induced snow transport and sublimation in alpine terrain using a fully coupled snowpack\/atmosphere model","volume":"8","author":"Vionnet","year":"2014","journal-title":"Cryosphere"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2823","DOI":"10.1175\/JAMC-D-14-0056.1","article-title":"Satellite-Based Precipitation Estimation and Its Application for Streamflow Prediction over Mountainous Western U.S. Basins","volume":"53","author":"Behrangi","year":"2014","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4893","DOI":"10.1002\/2013WR014566","article-title":"What does CloudSat reveal about global land precipitation detection by other spaceborne sensors?","volume":"50","author":"Behrangi","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4468","DOI":"10.1002\/2015JD024546","article-title":"Status of high-latitude precipitation estimates from observations and reanalyses","volume":"121","author":"Behrangi","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1175\/BAMS-D-15-00306.1","article-title":"The Global Precipitation Measurement (GPM) mission for science and society","volume":"98","author":"Petersen","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/978-3-030-24568-9_19","article-title":"Integrated Multi-satellite Retrievals for the Global Precipitation Measurement (GPM) Mission (IMERG)","volume":"Volume 67","author":"Huffman","year":"2020","journal-title":"Advances in Global Change Research"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1007\/s10712-017-9416-4","article-title":"Global Precipitation: Means, Variations and Trends During the Satellite Era (1979\u20132014)","volume":"38","author":"Adler","year":"2017","journal-title":"Surv. Geophys."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1175\/1520-0477(1997)078<1449:COTTPP>2.0.CO;2","article-title":"Characteristics of the TOVS Pathfinder Path A dataset","volume":"78","author":"Susskind","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"e2020EA001357","DOI":"10.1029\/2020EA001357","article-title":"Comparative Assessment of Snowfall Retrieval From Microwave Humidity Sounders Using Machine Learning Methods","volume":"7","author":"Adhikari","year":"2020","journal-title":"Earth Sp. Sci."},{"key":"ref_23","first-page":"1591","article-title":"Assessment of the Advanced Very High-Resolution Radiometer (AVHRR) for Snowfall Retrieval in High Latitudes Using CloudSat and Machine Learning","volume":"22","author":"Ehsani","year":"2021","journal-title":"J. Hydrometeorol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"8689","DOI":"10.1175\/JCLI-D-18-0163.1","article-title":"Using GRACE to Estitmate Snowfall Accumulation and Assess Gauge Undercatch Corrections in High Latitudes","volume":"31","author":"Behrangi","year":"2018","journal-title":"J. Clim."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Schneider, U., Finger, P., Meyer-Christoffer, A., Rustemeier, E., Ziese, M., and Becker, A. (2017). Evaluating the Hydrological Cycle over Land Using the Newly-Corrected Precipitation Climatology from the Global Precipitation Climatology Centre (GPCC). Atmos., 8.","DOI":"10.3390\/atmos8030052"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"11358","DOI":"10.1029\/2019GL084221","article-title":"Assessing Gauge Undercatch Correction in Arctic Basins in Light of GRACE Observations","volume":"46","author":"Behrangi","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1111\/j.1365-246X.2004.02356.x","article-title":"Rapid uplift of southern Alaska caused by recent ice loss","volume":"158","author":"Larsen","year":"2004","journal-title":"Geophys. J. Int."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7331","DOI":"10.1029\/2018WR023108","article-title":"Using the Airborne Snow Observatory to Assess Remotely Sensed Snowfall Products in the California Sierra Nevada","volume":"54","author":"Behrangi","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.rse.2016.06.018","article-title":"The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo","volume":"184","author":"Painter","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Panahi, M., and Behrangi, A. (2019). Comparative Analysis of Snowfall Accumulation and Gauge Undercatch Correction Factors from Diverse Data Sets: In Situ, Satellite, and Reanalysis. Asia-Pacific J. Atmos. Sci.","DOI":"10.1007\/s13143-019-00161-6"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2743","DOI":"10.1175\/JHM-D-16-0056.1","article-title":"Why do global reanalyses and land data assimilation products underestimate snow water equivalent?","volume":"17","author":"Broxton","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2551","DOI":"10.1175\/JHM-D-20-0066.1","article-title":"AMSR-E Snow: Can Snowfall Help Improve SWE Estimates?","volume":"21","author":"Gonzalez","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2145","DOI":"10.1029\/1999WR900090","article-title":"Characteristics of the western United States snowpack from snowpack telemetry (SNOTEL) data","volume":"35","author":"Serreze","year":"1999","journal-title":"Water Resour. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"71","DOI":"10.5194\/essd-5-71-2013","article-title":"A description of the global land-surface precipitation data products of the Global Precipitation Climatology Centre with sample applications including centennial (trend) analysis from 1901-present","volume":"5","author":"Becker","year":"2013","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1175\/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2","article-title":"The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979\u2013Present)","volume":"4","author":"Adler","year":"2003","journal-title":"J. Hydrometeorol."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Huffman, G.J., Adler, R.F., Bolvin, D.T., and Gu, G. (2009). Improving the global precipitation record: GPCP Version 2.1. Geophys. Res. Lett., 36.","DOI":"10.1029\/2009GL040000"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1175\/1525-7541(2001)002<0036:GPAODD>2.0.CO;2","article-title":"Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations","volume":"2","author":"Huffman","year":"2001","journal-title":"J. Hydrometeorol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1109\/TGRS.2002.808356","article-title":"AIRS\/AMSU\/HSB on the aqua mission: Design, science objectives, data products, and processing systems","volume":"41","author":"Aumann","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Geudtner, D., Torres, R., Snoeij, P., Davidson, M., and Rommen, B. (2014, January 13\u201318). Sentinel-1 System capabilities and applications. Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC, USA.","DOI":"10.1109\/IGARSS.2014.6946711"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Lievens, H., Demuzere, M., Marshall, H., Reichle, R.H., Brucker, L., Brangers, I., de Rosnay, P., Dumont, M., Girotto, M., and Immerzeel, W.W. (2019). Snow depth variability in the Northern Hemisphere mountains observed from space. Nat. Commun., 1\u201312.","DOI":"10.1038\/s41467-019-12566-y"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1175\/1520-0434(1998)013<0377:TWRA>2.0.CO;2","article-title":"The WSR-88D rainfall algorithm","volume":"13","author":"Fulton","year":"1998","journal-title":"Weather Forecast."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1175\/WAF-D-14-00112.1","article-title":"Assessment and implications of NCEP stage IV quantitative precipitation estimates for product intercomparisons","volume":"31","author":"Nelson","year":"2016","journal-title":"Weather Forecast."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"5419","DOI":"10.1175\/JCLI-D-16-0758.1","article-title":"The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)","volume":"30","author":"Gelaro","year":"2017","journal-title":"J. Clim."},{"key":"ref_44","unstructured":"Hersbach, H. (2016). The ERA5 Atmospheric Reanalysis. Proceedings of the AGU Fall Meeting Abstracts, American Geophysical Union."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1175\/JHM-D-18-0007.1","article-title":"Evaluation of remotely sensed snow water equivalent and snow cover extent over the contiguous United States","volume":"19","author":"Dawson","year":"2018","journal-title":"J. Hydrometeorol."},{"key":"ref_46","unstructured":"Luojus, K., Pulliainen, J., Takala, M., Lemmetyinen, J., Smolander, T., and Derksen, C. (2014, January 22). The GlobSnow Snow Water Equivalent Product. Proceedings of the SnowPEX ISSPI-1, College Park, MD, USA."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.rse.2012.10.004","article-title":"Evaluating global snow water equivalent products for testing land surface models","volume":"128","author":"Hancock","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"3233","DOI":"10.1109\/JSTARS.2019.2926058","article-title":"Comparison of Satellite Passive Microwave with Modeled Snow Water Equivalent Estimates in the Red River of the North Basin","volume":"12","author":"Schroeder","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"125499","DOI":"10.1016\/j.jhydrol.2020.125499","article-title":"Validation of remotely sensed estimates of snow water equivalent using multiple reference datasets from the middle and high latitudes of China","volume":"590","author":"Yang","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_50","unstructured":"Luojus, K., Pulliainen, J., Takala, M., Lemmetyinen, J., Kangwa, M., Eskelinen, M., Mets\u00e4m\u00e4ki, S., Solberg, R., Salberg, A.B., and Bippus, G. (2014). GlobSnow2\u2013Final Report, Global Snow Monitoring for Climate Research, European Space Agency."},{"key":"ref_51","unstructured":"Board, S.S., and National Academies of Sciences, Engineering, and Medicine (2018). Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space, The National Academies Press."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/15\/2922\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:34:40Z","timestamp":1760164480000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/15\/2922"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,25]]},"references-count":51,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["rs13152922"],"URL":"https:\/\/doi.org\/10.3390\/rs13152922","relation":{"has-preprint":[{"id-type":"doi","id":"10.20944\/preprints202106.0062.v1","asserted-by":"object"}]},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,25]]}}}