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.
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 Asset Identifier Service (AIS) |
USGS Organization | MD-DE-DC Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay
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Predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay
Understanding effects of climate change on nitrogen fate and transport in the environment is critical to nutrient management. We used climate projections within a previously calibrated spatially referenced regression (SPARROW) model to predict effects of expected climate change over 1995 through 2025 on total nitrogen fluxes to Chesapeake Bay and in watershed streams. Assuming nitrogen inputs and
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