scholarly journals High Arctic IRMA automatic weather station field data 1991-92: part 1, documentation, part 2, plots

1994 ◽  
Author(s):  
C L Labine ◽  
B T Alt ◽  
D Atkinson ◽  
A Headley ◽  
R M Koerner ◽  
...  
Keyword(s):  
Field Data ◽  
High Arctic ◽  
Weather Station ◽  
Automatic Weather Station

scholarly journals Uncertainty Evaluation of Wind Speed Sensor in Automatic Weather Station

2021 ◽  
Vol 768 (1) ◽  
pp. 012008
Author(s):  
Zhen Yang ◽  
Husheng Zhang ◽  
Qiang Wang ◽  
Cuicui Li ◽  
Wenlong Xu ◽  
...  
Keyword(s):  
Wind Speed ◽  
Uncertainty Evaluation ◽  
Weather Station ◽  
Automatic Weather Station ◽  
Speed Sensor

Corsock Automatic Weather Station

Weather ◽  
2003 ◽  
Vol 58 (8) ◽  
pp. 291-294
Author(s):  
G. A. J. Bowles
Keyword(s):  
Weather Station ◽  
Automatic Weather Station

Ongoing Experience with Ohio’s Automatic Weather Station Network

1993 ◽  
Vol 9 (5) ◽  
pp. 437-441 ◽  
Author(s):  
D. L. Elwell ◽  
J. C. Klink ◽  
J. R. Holman ◽  
M. J. Sciarini
Keyword(s):  
Weather Station ◽  
Automatic Weather Station ◽  
Station Network

scholarly journals Snow surface height variations on the Antarctic ice sheet in Princess Elizabeth Land, Antarctica: 1 year of data from an automatic weather station

2004 ◽  
Vol 39 ◽  
pp. 181-187 ◽  
Author(s):  
Qin Dahe ◽  
Xiao Cunde ◽  
Ian Allison ◽  
Bian Lingen ◽  
Rod Stephenson ◽  
...  
Keyword(s):  
Ice Sheet ◽  
Cloud Amount ◽  
Snow Accumulation ◽  
Strong Wind ◽  
Weather Station ◽  
Automatic Weather Station ◽  
Antarctic Ice Sheet ◽  
Total Cloud Amount ◽  
Surface Snow ◽  
The Antarctic

AbstractThe net surface snow accumulation on the Antarctic ice sheet is determined by a combination of precipitation, sublimation and wind redistribution. We present a 1 year record of hourly snow-height measurements that shows its seasonal variability. The measurements were made with an ultrasonic sensor mounted on an automatic weather station (AWS) installed at LGB69, Princess Elizabeth Land, Antarctica (70.835˚S, 77.075˚E; 1850 ma.s.l.). The average accumulation at this site is approximately 0.70 m snow a–1. Throughout the winter, between April and September, there was little change in surface snow height. The strongest accumulation occurred during the period October–March, with four episodic increases occurring during 2002. These episodic events coincided with obvious humidity ‘pulses’ and decreases of incoming solar radiation as recorded by the AWS. Observations of the total cloud amount at Davis station, 160 km north-northeast of LGB69, showed good correlation with major accumulation events recorded at LGB69. There was an obvious anticorrelation between the lowest cloud height at Davis and the daily accumulation rate at LGB69. Although there was no correlation over the total year between wind speed and accumulation at LGB69, large individual accumulation events are associated with episodes of strong wind. Strong accumulation events at LGB69 are associated with major storms in the region and inland transport of moist air masses from the coast.

scholarly journals APLIKASI SATELIT DALAM MENGESTIMASI EVAPORASI DI DAERAH WADUK (STUDI KASUS: WADUK SAGULING-JAWA BARAT)

2018 ◽  
Vol 19 (2) ◽  
pp. 61
Author(s):  
Rusmawan Suwarman ◽  
Dinda Mahardita ◽  
I Dewa Gede A. Junnaedhi
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Input Data ◽  
Input Parameter ◽  
Weather Station ◽  
Automatic Weather Station

Estimasi evaporasi di daerah waduk menggunakan metode empiris dengan input data satelit dilakukan untuk mengatasi masalah ketersediaan data meteorologi dari observasi permukaan. Data satelit berupa Land Surface Temperature dari satelit Himawari dan profil atmosfer dari satelit MODIS digunakan untuk memperoleh informasi parameter temperatur, kelembapan relatif dan radiasi matahari untuk mengestimasi besaran evaporasi di daerah waduk. Metode empiris yang digunakan antara lain adalah Blaney-Criddle, Kharuffa, Hargreaves, Schendel dan Schendel yang dimodifikasi (Modified Schendel). Hasil estimasi evaporasi dibandingkan terhadap evaporasi acuan yang dihitung menggunakan metode kombinasi (Penman) dengan input parameter meteorologi hasil observasi. Observasi dilakukan menggunakan Automatic Weather Station di dua titik pengamatan di Waduk Saguling. Hasil penelitian menunjukkan estimasi evaporasi waduk dengan input data satelit dapat dilakukan dengan metode yang ada namun diperlukan modifikasi. Metode estimasi evaporasi waduk yang terbaik adalah Modified Schendel, namun belum bisa menunjukkan variasi spasial yang sesuai observasi. Penggunaan regresi Linier Berganda dan menambahkan parameter radiasi matahari pada Modified Schendel, didapatkan suatu persamaan yang baik secara statistik dan dapat menunjukkan variasi spasial evaporasi di Waduk Saguling yang sesuai observasi.

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