Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach
This paper estimates rainfall totals at 17 Greenland meteorological stations, subjecting data from in situ precipitation gauge measurements to seven different precipitation phase schemes to separate rainfall and snowfall amounts. To correct the resulting snow/rain fractions for undercatch, we subseq...
Main Authors: | , , , |
---|---|
Other Authors: | , |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://dspace.library.uu.nl/handle/1874/412969 |
id |
ftunivutrecht:oai:dspace.library.uu.nl:1874/412969 |
---|---|
record_format |
openpolar |
spelling |
ftunivutrecht:oai:dspace.library.uu.nl:1874/412969 2023-12-10T09:49:03+01:00 Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach Huai, Baojuan Van Den Broeke, Michiel R. Reijmer, Carleen H. Cappellen, John Sub Dynamics Meteorology Marine and Atmospheric Research 2021 application/pdf https://dspace.library.uu.nl/handle/1874/412969 eng eng https://dspace.library.uu.nl/handle/1874/412969 info:eu-repo/semantics/OpenAccess 2021 ftunivutrecht 2023-11-15T23:18:29Z This paper estimates rainfall totals at 17 Greenland meteorological stations, subjecting data from in situ precipitation gauge measurements to seven different precipitation phase schemes to separate rainfall and snowfall amounts. To correct the resulting snow/rain fractions for undercatch, we subsequently use a dynamic correction model (DCM) for automatic weather stations (AWS, Pluvio gauges) and a regression analysis correction method for staffed stations (Hellmann gauges). With observations ranging from 5% to 57% for cumulative totals, rainfall accounts for a considerable fraction of total annual precipitation over Greenland’s coastal regions, with the highest rain fraction in the south (Narsarsuaq). Monthly precipitation and rainfall totals are used to evaluate the regional climate model RACMO2.3. The model realistically captures monthly rainfall and total precipitation (R = 0.3–0.9), with generally higher correlations for rainfall for which the undercatch correction factors (1.02–1.40) are smaller than those for snowfall (1.27–2.80), and hence the observations are more robust. With a horizontal resolution of 5.5 km and simulation period from 1958 to the present, RACMO2.3 therefore is a useful tool to study spatial and temporal variability of rainfall in Greenland, although further statistical downscaling may be required to resolve the steep rainfall gradients. Other/Unknown Material Greenland Narsarsuaq Utrecht University Repository Greenland |
institution |
Open Polar |
collection |
Utrecht University Repository |
op_collection_id |
ftunivutrecht |
language |
English |
description |
This paper estimates rainfall totals at 17 Greenland meteorological stations, subjecting data from in situ precipitation gauge measurements to seven different precipitation phase schemes to separate rainfall and snowfall amounts. To correct the resulting snow/rain fractions for undercatch, we subsequently use a dynamic correction model (DCM) for automatic weather stations (AWS, Pluvio gauges) and a regression analysis correction method for staffed stations (Hellmann gauges). With observations ranging from 5% to 57% for cumulative totals, rainfall accounts for a considerable fraction of total annual precipitation over Greenland’s coastal regions, with the highest rain fraction in the south (Narsarsuaq). Monthly precipitation and rainfall totals are used to evaluate the regional climate model RACMO2.3. The model realistically captures monthly rainfall and total precipitation (R = 0.3–0.9), with generally higher correlations for rainfall for which the undercatch correction factors (1.02–1.40) are smaller than those for snowfall (1.27–2.80), and hence the observations are more robust. With a horizontal resolution of 5.5 km and simulation period from 1958 to the present, RACMO2.3 therefore is a useful tool to study spatial and temporal variability of rainfall in Greenland, although further statistical downscaling may be required to resolve the steep rainfall gradients. |
author2 |
Sub Dynamics Meteorology Marine and Atmospheric Research |
author |
Huai, Baojuan Van Den Broeke, Michiel R. Reijmer, Carleen H. Cappellen, John |
spellingShingle |
Huai, Baojuan Van Den Broeke, Michiel R. Reijmer, Carleen H. Cappellen, John Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach |
author_facet |
Huai, Baojuan Van Den Broeke, Michiel R. Reijmer, Carleen H. Cappellen, John |
author_sort |
Huai, Baojuan |
title |
Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach |
title_short |
Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach |
title_full |
Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach |
title_fullStr |
Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach |
title_full_unstemmed |
Quantifying Rainfall in Greenland : A Combined Observational and Modeling Approach |
title_sort |
quantifying rainfall in greenland : a combined observational and modeling approach |
publishDate |
2021 |
url |
https://dspace.library.uu.nl/handle/1874/412969 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Narsarsuaq |
genre_facet |
Greenland Narsarsuaq |
op_relation |
https://dspace.library.uu.nl/handle/1874/412969 |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1784893308457189376 |