IPY: Collaborative Research: A Prototype Network for Measuring Arctic Winter Precipitation and Snow Cover (Snow-Net)

IPY：合作研究：测量北极冬季降水和积雪的原型网络（Snow-Net）

基本信息

批准号：
0632133
负责人：
Glen Liston
金额：
$ 35.1万
依托单位：
Colorado State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2007
资助国家：
美国
起止时间：
2007-03-15 至 2012-02-29
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0632133&HistoricalAwards=false
关键词：
IPY Collaborative Research Prototype Network

项目摘要

A prototype international network is proposed to measure snowfall and ground snow at 5 arctic sites concurrently in an effort to improve the ability to monitor. All of the sites have been identified as key locations in a pan-arctic monitoring network and will augment existing meteorological and snow measuring instrumentation with solid-state snow pillows, heated plate precipitation sensors, snow fences, and eddy correlation towers for computation of sublimation. Ground surveys will also be conducted for snow cover depth, water equivalent, and other properties using tools that allow rapid collection of extensive data. These will be augmented with aerial photography and airborne remote sensing from inexpensive platforms (kites and UAVs) to visualize drift and deposition patterns. The combined suite of instruments and measurements is designed to allow closure of the winter water balance at each site, for the first time balancing the precipitation with measured accumulation. Using a set of modeling tools (e.g., a melt model, and a transport model for blowing snow), the PI's will a) develop methods and algorithms for quality checking both meteorological and snow data by cross-comparison between sensors and instruments, b) close the water balance in a way that produces more accurate values of winter precipitation and snow on the ground than are currently being collected, and c) apply a methodology to historical data from the existing gauge network to produce better estimates of past trends.

提出了一个原型国际网络，以同时同时在5个北极地点测量降雪和地面雪，以提高监视能力。所有地点都被确定为泛北极监测网络中的关键位置，并将使用固态雪枕，加热的板块沉淀传感器，雪栅栏和涡流相关塔来增强现有的气象和雪测量仪器，以计算升华。还将使用允许快速收集大量数据的工具进行地面调查，以进行积雪深度，水等效性和其他特性。这些将通过廉价平台（风筝和无人机）的航空摄影和空中遥感来增强这些，以可视化漂移和沉积模式。仪器和测量的组合套件旨在允许在每个地点关闭冬季水平，这是首次平衡降水与测量的积累。 Using a set of modeling tools (e.g., a melt model, and a transport model for blowing snow), the PI's will a) develop methods and algorithms for quality checking both meteorological and snow data by cross-comparison between sensors and instruments, b) close the water balance in a way that produces more accurate values of winter precipitation and snow on the ground than are currently being collected, and c) apply a methodology to historical data from the existing gauge network to produce更好地估计过去趋势。