Operational application of NOAA-AVHRR data for mapping lake surface temperatures in an alpine environment: feasibilty and validation

2004 ◽  
Author(s):  
David C. Oesch ◽  
Adrian B. Hauser ◽  
Stefan Wunderle
Keyword(s):  
Lake Surface ◽  
Alpine Environment ◽  
Noaa Avhrr ◽  
Surface Temperatures ◽  
Operational Application ◽  
Avhrr Data

Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR data

2001 ◽  
Vol 22 (7) ◽  
pp. 1285-1303 ◽  
Author(s):  
X. Li ◽  
W. Pichel ◽  
P. Clemente-Colón ◽  
V. Krasnopolsky ◽  
J. Sapper
Keyword(s):  
Surface Temperature ◽  
Temperature Measurements ◽  
Lake Surface ◽  
Noaa Avhrr ◽  
Avhrr Data ◽  
Coastal Sea

An Integrated Approach to Wildland Fire Mapping of California, USA Using NOAA/AVHRR Data

2006 ◽  
Vol 72 (2) ◽  
pp. 139-150 ◽  
Author(s):  
Peng Gong ◽  
Ruiliang Pu ◽  
Zhanqing Li ◽  
James Scarborough ◽  
Nicolas Clinton ◽  
...  
Keyword(s):  
Wildland Fire ◽  
Integrated Approach ◽  
Noaa Avhrr ◽  
Avhrr Data

Analysis of vegetation green wave change in China using NOAA AVHRR data sets

2000 ◽  
Author(s):  
Changyao Wang ◽  
Qingyuan Zhang ◽  
Zheng Niu ◽  
Xiuwang Cheng
Keyword(s):  
Data Sets ◽  
Noaa Avhrr ◽  
Avhrr Data ◽  
Wave Change

Examining the impacts of Great Lakes’ temperature perturbations on simulated precipitation in the northeastern United States

2021 ◽  
Author(s):  
Janel Hanrahan ◽  
Jessica Langlois ◽  
Lauren Cornell ◽  
Huanping Huang ◽  
Jonathan Winter ◽  
...  
Keyword(s):  
Great Lakes ◽  
New England ◽  
General Circulation ◽  
Lower Boundary ◽  
Historical Period ◽  
Spatial And Temporal Variability ◽  
Lake Surface ◽  
The North ◽  
Surface Temperatures ◽  
Simulated Precipitation

AbstractMost inland water bodies are not resolved by General Circulation Models, requiring that lake surface temperatures be estimated. Given the large spatial and temporal variability of the North American Great Lakes’ surface temperatures, such estimations can introduce errors when used as lower boundary conditions for dynamical downscaling. Lake surface temperatures (LSTs) influence moisture and heat fluxes, thus impacting precipitation within the immediate region and potentially in regions downwind of the lakes. For the present study, the Advanced Research Weather Research and Forecasting Model (WRF-ARW) was used to simulate precipitation over six New England states during a five-year historical period. The model simulation was repeated with perturbed LSTs, ranging from 10°C below to 10°C above baseline values obtained from reanalysis data, to determine whether the inclusion of erroneous LST values impact simulated precipitation and synoptic-scale features. Results show that simulated precipitation in New England is statistically correlated with LST perturbations, but this region falls on a wet-dry line of a larger bimodal distribution. Wetter conditions occur to the north and drier conditions to the south with increasing LSTs, particularly during the warm season. The precipitation differences coincide with large-scale anomalous temperature, pressure, and moisture patterns. Care must therefore be taken to ensure reasonably accurate Great Lakes’ surface temperatures when simulating precipitation, especially in southeastern Canada, Maine, and the Mid-Atlantic region.

Monitoring weather impact and crop yield from NOAA AVHRR data in Argentina

2000 ◽  
Vol 26 (7) ◽  
pp. 1177-1185 ◽  
Author(s):  
R.A. Seiler ◽  
F. Kogan ◽  
Guo Wei
Keyword(s):  
Crop Yield ◽  
Weather Impact ◽  
Noaa Avhrr ◽  
Avhrr Data
Sign in / Sign up

Export Citation Format

Share Document