The Fennec Automatic Weather Station (AWS) Network: Monitoring the Saharan Climate SystemSource: Journal of Atmospheric and Oceanic Technology:;2012:;volume( 030 ):;issue: 004::page 709Author:Hobby, Matthew
,
Gascoyne, Matthew
,
Marsham, John H.
,
Bart, Mark
,
Allen, Christopher
,
Engelstaedter, Sebastian
,
Fadel, Dieh Mohamed
,
Gandega, Abdoulaye
,
Lane, Richard
,
McQuaid, James B.
,
Ouchene, Bouziane
,
Ouladichir, Abdelkader
,
Parker, Douglas J.
,
Rosenberg, Phil
,
Ferroudj, Mohammed Salah
,
Saci, Azzedine
,
Seddik, Fouad
,
Todd, Martin
,
Walker, Dan
,
Washington, Richard
DOI: 10.1175/JTECH-D-12-00037.1Publisher: American Meteorological Society
Abstract: he Fennec automatic weather station (AWS) network consists of eight stations installed across the Sahara, with four in remote locations in the central desert, where no previous meteorological observations have existed. The AWS measures temperature, humidity, pressure, wind speed, wind direction, shortwave and longwave radiation (upwelling and downwelling), ground heat flux, and ground temperature. Data are recorded every 3 min 20 s, that is, at 3 times the temporal resolution of the World Meteorological Organization?s standard 10-min reporting for winds and wind gusts. Variations in wind speeds on shorter time scales are recorded through the use of second- and third-order moments of 1-Hz data. Using the Iridium Router-Based Unrestricted Digital Internetworking Connectivity Solutions (RUDICS) service, data are transmitted in near?real time (1-h lag) to the United Kingdom, where calibrations are applied and data are uploaded to the Global Telecommunications System (GTS), for assimilation into forecast models.This paper describes the instrumentation used and the data available from the network. Particular focus is given to the engineering applied to the task of making measurements in this remote region and challenging climate. The communications protocol developed to operate over the Iridium RUDICS satellite service is described. Transmitting the second moment of the wind speed distribution is shown to improve estimates of the dust-generating potential of observed winds, especially for winds close to the threshold speed for dust emission of the wind speed distribution. Sources of error are discussed and some preliminary results are presented, demonstrating the system?s potential to record key features of this region.
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contributor author | Hobby, Matthew | |
contributor author | Gascoyne, Matthew | |
contributor author | Marsham, John H. | |
contributor author | Bart, Mark | |
contributor author | Allen, Christopher | |
contributor author | Engelstaedter, Sebastian | |
contributor author | Fadel, Dieh Mohamed | |
contributor author | Gandega, Abdoulaye | |
contributor author | Lane, Richard | |
contributor author | McQuaid, James B. | |
contributor author | Ouchene, Bouziane | |
contributor author | Ouladichir, Abdelkader | |
contributor author | Parker, Douglas J. | |
contributor author | Rosenberg, Phil | |
contributor author | Ferroudj, Mohammed Salah | |
contributor author | Saci, Azzedine | |
contributor author | Seddik, Fouad | |
contributor author | Todd, Martin | |
contributor author | Walker, Dan | |
contributor author | Washington, Richard | |
date accessioned | 2017-06-09T17:24:30Z | |
date available | 2017-06-09T17:24:30Z | |
date copyright | 2013/04/01 | |
date issued | 2012 | |
identifier issn | 0739-0572 | |
identifier other | ams-84698.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4228062 | |
description abstract | he Fennec automatic weather station (AWS) network consists of eight stations installed across the Sahara, with four in remote locations in the central desert, where no previous meteorological observations have existed. The AWS measures temperature, humidity, pressure, wind speed, wind direction, shortwave and longwave radiation (upwelling and downwelling), ground heat flux, and ground temperature. Data are recorded every 3 min 20 s, that is, at 3 times the temporal resolution of the World Meteorological Organization?s standard 10-min reporting for winds and wind gusts. Variations in wind speeds on shorter time scales are recorded through the use of second- and third-order moments of 1-Hz data. Using the Iridium Router-Based Unrestricted Digital Internetworking Connectivity Solutions (RUDICS) service, data are transmitted in near?real time (1-h lag) to the United Kingdom, where calibrations are applied and data are uploaded to the Global Telecommunications System (GTS), for assimilation into forecast models.This paper describes the instrumentation used and the data available from the network. Particular focus is given to the engineering applied to the task of making measurements in this remote region and challenging climate. The communications protocol developed to operate over the Iridium RUDICS satellite service is described. Transmitting the second moment of the wind speed distribution is shown to improve estimates of the dust-generating potential of observed winds, especially for winds close to the threshold speed for dust emission of the wind speed distribution. Sources of error are discussed and some preliminary results are presented, demonstrating the system?s potential to record key features of this region. | |
publisher | American Meteorological Society | |
title | The Fennec Automatic Weather Station (AWS) Network: Monitoring the Saharan Climate System | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 4 | |
journal title | Journal of Atmospheric and Oceanic Technology | |
identifier doi | 10.1175/JTECH-D-12-00037.1 | |
journal fristpage | 709 | |
journal lastpage | 724 | |
tree | Journal of Atmospheric and Oceanic Technology:;2012:;volume( 030 ):;issue: 004 | |
contenttype | Fulltext |