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.
Citation Information
| 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 | Maryland-Delaware-D.C. Water Science Center |
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Scott Ator
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Andrew Sekellick
Physical ScientistEmailPhoneScott Ator
Hydrologist/Water Quality SpecialistEmailPhone