2019
DOI: 10.3390/rs11182130
|View full text |Cite
|
Sign up to set email alerts
|

Intercomparison of Integrated Water Vapor Measurements at High Latitudes from Co-Located and Near-Located Instruments

Abstract: Data from global positioning system (GPS) ground-based receivers, ground-based microwave radiometers (MWRs), and radiosondes (RS) at two high-latitude sites were compared. At one site, the North Slope of Alaska (NSA), Barrow, Alaska (USA), the instruments were co-located, while at the other site, the second ARM Mobile Facility (AMF2), Hyytiälä, Finland, the GPS receiver was located about 20 km away from the MWRs and RS. Differences between the GPS-derived integrated water vapor (IWV) and the other three instru… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 43 publications
0
2
0
Order By: Relevance
“…On the other hand, the use of near-surface air temperature as an approximation for T m may prove inadequate during certain seasons and in specific geographic regions (e.g., Arctic [63]), where regional linear regression models that differ but are similar could be applied [64,65]. In addition, the approach assumes well-established data flow from ground-based meteorological stations.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, the use of near-surface air temperature as an approximation for T m may prove inadequate during certain seasons and in specific geographic regions (e.g., Arctic [63]), where regional linear regression models that differ but are similar could be applied [64,65]. In addition, the approach assumes well-established data flow from ground-based meteorological stations.…”
Section: Methodsmentioning
confidence: 99%
“…The GPS-derived PWV over each station is estimated by multiplying the zenith wet delay (ZWD) with a conversion factor П (~ 0.15), which is a function of water vapor-weighted mean temperature Tm at the station (Bi et al 2006;Fionda et al 2019;Huelsing et al 2017).…”
Section: Tropospheric Wet Delay Estimation Using Gpsmentioning
confidence: 99%
“…The high frequency observations from MiRAC-P have a high sensitivity to atmospheric water vapour in dry conditions (IWV < 10 kg m −2 ) but get saturated in humid conditions (IWV ≥ 10 kg m −2 , Cadeddu et al, 2007Cadeddu et al, , 2022Fionda et al, 2019). In contrast, the low frequency observations from HATPRO have a high sensitivity in humid conditions but a weak signal in the dry conditions of the Arctic in winter.…”
Section: Introductionmentioning
confidence: 96%