Seasonal hydrological and nutrient loading forecasts for watersheds over the Southeastern United States
نویسندگان
چکیده
19 We show useful seasonal deterministic and probabilistic prediction skill of 20 streamflow and nutrient loading over watersheds in the Southeastern United States 21 (SEUS) for the winter and spring seasons. The study accounts for forecast 22 uncertainties stemming from the meteorological forcing and hydrological model 23 uncertainty. Multi-model estimation from three hydrological models, each forced 24 with an ensemble of forcing derived by matching observed analogues of forecasted 25 quartile rainfall anomalies from a seasonal climate forecast is used. The attained 26 useful hydrological prediction skill is despite the climate model overestimating 27 rainfall by over 23% over these SEUS watersheds in December-May period. The 28 prediction skill in the month of April-and May is deteriorated as compared to the 29 period from December-March (zero lead forecast). 30 A nutrient streamflow rating curve is developed using a log-linear tool for this 31 purpose. The, skill in prediction of seasonal nutrient loading is nearly identical to the skill 32 in predicting the seasonal streamflow. 33 34
منابع مشابه
Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application
Skilful and reliable precipitation data are essential for seasonal hydrologic forecasting and generation of hydrological data. Although output from dynamic downscaling methods is used for hydrological application, the existence of systematic errors in dynamically downscaled data adversely affects the skill of hydrologic forecasting. This study evaluates the precipitation data derived by dynamic...
متن کاملNitrate variability in hydrological flow paths for three mid-Appalachian forested watersheds following a large-scale defoliation
[i] Nitrate (NO^~) leakage from forested watersheds due to disturbance is a well documented but not well understood process that can contribute to the degradation of receiving waters through eutrophication. Several studies have shown that large-scale defoliation and deforestation events in small forested watersheds in the eastern United States cause immediate and dramatic increases in NO^ flux ...
متن کاملInterannual hydroclimatic variability and its influence on winter nutrient loadings over the Southeast United States
It is well established in the hydroclimatic literature that the interannual variability in seasonal streamflow could be partially explained using climatic precursors such as tropical sea surface temperature (SST) conditions. Similarly, it is widely known that streamflow is the most important predictor in estimating nutrient loadings and the associated concentration. The intent of this study is ...
متن کاملA Strategy for Estimating Nutrient Concentrations Using Remote Sensing Datasets and Hydrological Modeling
This paper presents a methodology for estimating nutrient concentrations of total phosphorus (TP) and total nitrogen (TN) through the use of hydrological modeling, remote sensing datasets, and nutrient export coefficients. The strategy is applied to the Upper Tombigbee watershed, located in the northern region of the states of Mississippi and Alabama, USA. USGS GIRAS (1986), NASA MODIS MOD12Q1 ...
متن کاملBayesian merging of multiple climate model forecasts for seasonal hydrological predictions
[1] This study uses a Bayesian approach to merge ensemble seasonal climate forecasts generated by multiple climate models for better probabilistic and deterministic forecasting. Within the Bayesian framework, the climatological distribution of the variable of interest serves as the prior, and the likelihood function is developed with a weighted linear regression between the climate model hindca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Environmental Modelling and Software
دوره 73 شماره
صفحات -
تاریخ انتشار 2015