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. 2019 Aug 5;40(2):942–956. doi: 10.1002/joc.6249

Table 1.

Hourly AWS data used in this study

AWS Latitude [deg] Longitude [deg] Elevation [m.a.s.l.] Period Data pointsa Sensor model, error and initial height
Kyanjing 28.211 85.569 3,862 10/2015–11/2018 20,454 (95%)

Rotronic HC2S3 ± 0.1°C, ± 0.8% RH, 1.9 m

Kipp & Zonen CNR4 ± 3%, 2.3 m

Yala basecamp 28.232 85.610 5,090 10/2015–10/2018 26,294 (61%)

Rotronic HC2S3 ± 0.1°C, ± 0.8% RH, 1.8 m

Kipp & Zonen CNR4 ± 3%, 2.4 m

Yala glacier 28.235 85.618 5,350 05/2016–04/2018 17,249 (92%)

Rotronic HC2S3 ± 0.1°C, ± 0.8% RH, 2.2 m

Kipp & Zonen CNR4 ± 3%, 2.5 m

Naulek 27.718 86.897 5,354 11/2012–11/2016 59,925 (83%)

Vaisala HMP155 ± 0.2°C, ±2% RH, 1.4 m

Kipp & Zonen CNR4 ± 3%, 0.7 m

Mera 27.707 86.874 6,352 11/2013–08/2016 42,252 (83%)

Vaisala HMP155 ± 0.2°C, ±2% RH, 1.7 m

Kipp & Zonen CNR4 ± 3%, 1.3 m

Changri Nup 27.983 86.779 5,360 11/2014–11/2017 53,061 (88%)

Vaisala HMP45C ±0.3°C, ±2% RH, 1.6 m

Kipp & Zonen CNR4 ± 3%, 1.1 m

Chhota Shigri glacier 32.241 77.518 4,670 08/2012–10/2013 6,311 (81%)

Campbell155A

±0.1°C, ±1% RH, 2.5 m

Kipp & Zonen CNR4 ± 3%, 1.8 m

Chhota Shigri moraine 32.230 77.506 4,683 08/2009–09/2013 20,877 (91%)

Campbell H3‐S3 XT

±0.1°C, ±1.5% RH, 1.5 m

Kipp & Zonen CNR1 ± 10%, 2.5 m

a

Datapoints are the number of accurate hourly measurements of LWin and the percentage where LWin, RH, Tair and SWin are available at the same time.