Adjustment of daily precipitation data at 10 climate stations in Alaska: Application of World Meteorological Organization intercomparison results

Yang, Daqing; Goodison, B.; Ishida, Shig; Benson, Carl S.

doi:10.1029/97wr02681

Cited by 150 publications

(197 citation statements)

References 14 publications

Supporting

Mentioning

192

Contrasting

Order By: Relevance

“…Snow is easily blown, missing precipitation gauges, and can also clog them (Groisman et al 1991). Small snowfalls can be difficult to detect and mixed snow and rainfall can complicate attempts to correct for wind (Yang et al 1998). Therefore Princeton may underestimate the snowfall.…”

Section: Meteorologymentioning

confidence: 99%

Evaluating global snow water equivalent products for testing land surface models

Hancock

Baxter

Evans³

et al. 2013

Remote Sensing of Environment

View full text Add to dashboard Cite

(2013) 'Evaluating global snow water equivalent products for testing land surface models.', Remote sensing of environment., 128 . pp. 107-117. Further information on publisher's website:http://dx.doi.org/10.1016/j.rse. 2012.10.004 Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Remote sensing of environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be re ected in this document. Changes may have been made to this work since it was submitted for publication. A de nitive version was subsequently published in Remote sensing of environment, 128, 2013, 10.1016/j.rse.2012.10.004 Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract This paper compares three global snow water equivalent (SWE) products, SSM/I (NSIDC), AMSR-E (NSIDC) and Globsnow (v1.0, ESA) to each other, snow covered area (SCA), ground measures of snow depth and meteorological data in an attempt to determine which might be most suitable for testing and developing land surface models. Particular attention is payed to which gives the most accurate peak accumulation, seasonal SWE changes and first and last dates of snow cover.SSM/I and AMSR-E are pure earth observation (EO) derived products whilst Globsnow is a combination of EO and ground data. The results suggest that the pure EO products can saturate in deeper snow (SWE > 80 -150 mm), can show spurious features during melt and can overestimate SWE due to strong thermal gradients and erroneous forest cover correction factors. Along with the comparison to ground data (only a single point) this suggests that Globsnow is the more accurate product for determining peak accumulation and seasonal SWE cycle.The snow start and end dates of the three SWE products were compared to an optically derived SCA (MOD10C1, taken as truth) and found to give large errors of snow start date (root mean square error of 20+ days, though SSM/I was correct on average). The snow end dates had lower errors (a bias of 1-6 days) although the spread was still on the order of three weeks.During the investigation, occasional abrupt changes in Globsnow were observed (in the v1.0 and v1.2 daily and v1.2 weekly products). These only occurred in around 1% of cases examined and seem to be spurious. Care should be taken to correct or avoid these jumps if using Globsnow to validate land surface models or in an assimilation scheme.

show abstract

Section: Meteorologymentioning

confidence: 99%

Evaluating global snow water equivalent products for testing land surface models

Hancock

Baxter

Evans³

et al. 2013

Remote Sensing of Environment

View full text Add to dashboard Cite

show abstract

“…It has been lately reported that blowing snow is important to gauge correction in Alaska [Yang et al, 1998b]. Greenland climate data show less blowing snow events due to lower wind speed.…”

Section: Monthly and Yearly Total Correctionsmentioning

confidence: 99%

“…When wind speed is not measured at the height of the gauge, it was estimated from measurements at higher heights, using the logarithmic wind profile approach. It has been well documented that for the same wind speed gauge, undercatch for snow is much higher than for rain [Goodison et al, 1981;Yang et al, 1995Yang et al, , 1998b. Classifying the type of precipitation is therefore necessary in order to apply the best wind-loss correction.…”

Section: Wind-induced Errorsmentioning

confidence: 99%

Bias correction of daily precipitation measurements for Greenland

Yang¹,

Ishida²,

Goodison³

et al. 1999

J. Geophys. Res.

Self Cite

119

105

View full text Add to dashboard Cite

Abstract. A methodology for correcting the Hellmann gauge-measured daily precipitation for wind-induced undercatch, wetting loss, and trace amount of precipitation was presented and applied at 12 climate stations in Greenland for years 1994-1997. The results show the following: (1) daily corrections of the biases increase the gauge-measured annual precipitation by 35-280 mm for the 4 years (about 25-90% of the gauge-measured yearly total) in Greenland; (2) of the biases, wind-induced undercatch is the source of greatest error; wetting loss and trace amount of precipitation are also significant biases in the northern Greenland regions of low precipitation; (3) monthly correction factors (corrected/measured precipitation) differ by station and, at an individual station, by type of precipitation; (4) considerable intra-annual variation of the yearly corrections has been found in Greenland due to the fluctuation of wind speed, air temperature, and frequency of snowfall. These results suggest that annual precipitation in Greenland is much higher than previously reported, particularly in the southern regions of high precipitation; and the latitudinal precipitation gradient may also be greater over Greenland. These results will have a significant impact to water budget and glacier mass balance studies in Greenland.

show abstract

“…Application of the WMO bias correction methods to the national precipitation data has resulted in significantly higher estimates of precipitation particularly in the high-latitude regions [Metcalfe et al, 1994;Yang et al, 1998aYang et al, , 1999aYang, 1999]. This increase in precipitation (up to an order of 2.0-2.5) points to a need to review our understanding of both arctic ocean and terrestrial freshwater budgets and the assessment of climate model performance in the high latitudes [Yang, 1999].…”

Section: Figure 1 (Top) Photos Of the World Meteorological Organizatmentioning

confidence: 99%

An evaluation of the Wyoming Gauge System for snowfall measurement

Yang¹,

Kane²,

Hinzman³

et al. 2000

Water Resources Research

Self Cite

View full text Add to dashboard Cite

Adjustment of daily precipitation data at 10 climate stations in Alaska: Application of World Meteorological Organization intercomparison results

Cited by 150 publications

References 14 publications

Evaluating global snow water equivalent products for testing land surface models

Evaluating global snow water equivalent products for testing land surface models

Bias correction of daily precipitation measurements for Greenland

An evaluation of the Wyoming Gauge System for snowfall measurement

Contact Info

Product

Resources

About