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SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay

January 6, 2022

This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of climate change on in-stream nitrogen (TN) loads in the Chesapeake Bay watershed between 1995 and 2025. Model scenarios were run using data for nitrogen sources and landscape characteristics from 2012, changing only temperature and runoff using climate change predictions to evaluate the change in climate on TN loads. Confidence intervals for model output predictions are also included.

Publication Year 2022
Title SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay
DOI 10.5066/P9IYEOKW
Authors Andrew J Sekellick, Scott W Ator, Gopal Bhatt
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization MD-DE-DC Water Science Center