Using Climate Predictions in Great Lakes Hydrologic Forecasts

نویسنده

  • T. E. Croley
چکیده

The Great Lakes Environmental Research Laboratory’s (GLERL’s) Advanced Hydrologic Prediction System (AHPS) illustrates the technology for those interested in using climate predictions in water resources decisions. It provides 1—6-month probability outlooks for 25 hydrology variables over the 121 watersheds and 7 lake surfaces of the Great Lakes basin, including simultaneous water levels on all lakes. The system incorporates both current conditions, antecedent to a forecast, and multiagency, multi-area, multi-period climate outlooks of meteorology probabilities. Extended water level forecasts are evaluated over three periods to determine the value of antecedent conditions and meteorological outlooks in making them. The suitability of GLERL’s AHPS forecasts is also considered relative to existing US and Canadian forecasts. While the use of antecedent conditions adds considerably to Great Lakes forecasting ability, the use of existing meteorological outlooks adds little. GLERL’s AHPS appears better than, or as good as, other Great Lakes forecasts and offers the advantage of improvement as better near real time data streams and improved process models become available. Forecasts that utilize climate predictions are used in several water resource decision settings, as illustrated here.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Systematic uncertainty reduction strategies for developing streamflow forecasts utilizing multiple climate models and hydrologic models

Recent studies show that multimodel combinations improve hydroclimatic predictions by reducing model uncertainty. Given that climate forecasts are available from multiple climate models, which could be ingested with multiple watershed models, what is the best strategy to reduce the uncertainty in streamflow forecasts? To address this question, we consider three possible strategies: (1) reduce t...

متن کامل

Assessment of impact of climate change on water resources: a long term analysis of the Great Lakes of North America

In the threshold of the appearance of global warming from theory to reality, extensive research has focused on predicting the impact of potential climate change on water resources using results from Global Circulation Models (GCMs). This research carries this further by statistical analyses of long term meteorological and hydrological data. Seventy years of historical trends in precipitation, t...

متن کامل

Weather , Climate , and Hydrologic Forecasting for the Southwest U

....................................................................................................................................... 8 Introduction ................................................................................................................................ 8 Weather Forecasts ....................................................................................................

متن کامل

Long-range experimental hydrologic forecasting for the eastern United States

[1] We explore a strategy for long-range hydrologic forecasting that uses ensemble climate model forecasts as input to a macroscale hydrologic model to produce runoff and streamflow forecasts at spatial and temporal scales appropriate for water management. Monthly ensemble climate model forecasts produced by the National Centers for Environmental Prediction/Climate Prediction Center global spec...

متن کامل

Long Range Experimental Hydrologic Forecasting for the Eastern U.s

We explore a strategy for long-range hydrologic forecasting that uses ensemble climate model forecasts as input to a macroscale hydrologic model to produce runoff and streamflow forecasts at spatial and temporal scales appropriate for water management. Coarse-scale monthly ensemble climate model forecasts produced by the NCEP/CPC Global Spectral Model (GSM) are bias corrected, downscaled to 1/8...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005