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Title: Statistical Relations among Solid Precipitation, Atmospheric Moisture and Cloud Parameters in the Arctic

Journal Article · · Atmosphere (Basel)
ORCiD logo [1]
  1. Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). NOAA Physical Sciences Laboratory

Observations collected during cold-season precipitation periods at Utquagvik, Alaska and at the multidisciplinary drifting observatory for the study of Arctic climate (MOSAiC) are used to statistically analyze the relations among the atmospheric water cycle parameters including the columnar supercooled liquid and ice amounts (expressed as liquid-water and ice-water paths, i.e., LWP and IWP), the integrated water vapor (IWV) and the near-surface snowfall rate. Data come from radar and radiometer-based retrievals and from optical precipitation sensors. While the correlation between snowfall rate and LWP is rather weak, correlation coefficients between radar-derived snowfall rate and IWP are high (~0.8), which is explained, in part, by the generally low LWP/IWP ratios during significant precipitation. Correlation coefficients between snowfall rate and IWV are moderate (~0.45). Correlations are generally weaker if snowfall is estimated by optical sensors, which is, in part, due to blowing snow. Correlation coefficients between near-surface temperature and snowfall rates are low (r < 0.3). The results from the Alaska and MOSAiC sites are generally similar. These results are not very sensitive to the amount of time averaging (e.g., 15 min averaging versus daily averages). Observationally based relations among the water cycle parameters are informative about atmospheric moisture conversion processes and can be used for model evaluations.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center; University of Colorado, Boulder, CO (United States)
Sponsoring Organization:
NOAA Physical Sciences Laboratory; USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Grant/Contract Number:
SC0022163
OSTI ID:
2283966
Journal Information:
Atmosphere (Basel), Journal Name: Atmosphere (Basel) Journal Issue: 1 Vol. 15; ISSN 2073-4433
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English

References (21)

Convective and stratiform components of the precipitation-moisture relationship: PRECIPITATION AND COLUMN MOISTURE journal December 2015
Accurate, simple equation for saturated vapour pressure over water and ice journal October 2020
Precipitation Extremes and Water Vapor journal February 2022
Estimating ice content and extinction in precipitating cloud systems from CloudSat radar measurements journal January 2008
The Recent Emergence of Arctic Amplification journal August 2021
Retrieving Precipitable Water Vapor Over Land From Satellite Passive Microwave Radiometer Measurements Using Automated Machine Learning journal November 2023
Resilience of persistent Arctic mixed-phase clouds journal December 2011
Observed behaviours of precipitable water vapour and precipitation intensity in response to upper air profiles estimated from surface air temperature journal July 2017
Impact of declining Arctic sea ice on winter snowfall journal February 2012
Monitoring water vapour with GNSS during a heavy rainfall event in the Spanish Mediterranean area journal July 2016
Relationships between Water Vapor Path and Precipitation over the Tropical Oceans journal April 2004
Toward More Accurate Retrievals of Ice Water Content from Radar Measurements of Clouds journal July 2000
Variability of Microphysical Parameters in High-Altitude Ice Clouds: Results of the Remote Sensing Method journal June 1997
Is Precipitation a Good Metric for Model Performance? journal February 2019
Correlation Analysis between Precipitation and Precipitable Water Vapor over China Based on 1999–2015 Ground-Based GPS Observations journal November 2022
Frozen Hydrometeor Terminal Fall Velocity Dependence on Particle Habit and Riming as Observed by Vertically Pointing Radars journal August 2023
The Relationship between Precipitation and Precipitable Water in CMIP6 Simulations and Implications for Tropical Climatology and Change journal March 2021
A Spatiotemporal Water Vapor–Deep Convection Correlation Metric Derived from the Amazon Dense GNSS Meteorological Network journal January 2017
High temporal resolution estimates of Arctic snowfall rates emphasizing gauge and radar-based retrievals from the MOSAiC expedition journal April 2022
Investigating the Inter-Relationships among Multiple Atmospheric Variables and Their Responses to Precipitation journal March 2023
Snowfall retrieval at X, Ka and W bands: consistency of backscattering and microphysical properties using BAECC ground-based measurements journal January 2018