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

Name: SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay
Published: 2025-12-09
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) U.S. Geological Survey (USGS); Gopal Bhatt, Scott W Ator, Andrew J Sekellick

Version: View help for Version V1

Name	File Type	Size	Last Modified
SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay.png	image/png	667.2 KB	11/25/2025 02:38:AM
changes.csv	text/csv	5.8 KB	12/09/2025 01:57:AM
climate.csv	text/csv	3.3 MB	11/25/2025 02:38:AM
climate_sparrow_metadata.xml	application/xml	53.5 KB	11/25/2025 02:38:AM
predictions1995.csv	text/csv	109.3 MB	11/25/2025 02:38:AM
predictions1995_dictionary.csv	text/csv	16.5 KB	11/25/2025 02:39:AM
predictions2025.csv	text/csv	109.3 MB	11/25/2025 02:39:AM
predictions2025_dictionary.csv	text/csv	16.5 KB	11/25/2025 02:40:AM
predictions_bay1995.csv	text/csv	1.5 KB	11/25/2025 02:40:AM

Project Citation:

U.S. Geological Survey (USGS), and Gopal Bhatt, Scott W Ator, Andrew J Sekellick . SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-12-09. https://doi.org/10.3886/E241084V1

Project Description

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

Summary: 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.

Original Distribution URL: https://www.sciencebase.gov/catalog/item/61ae3f7dd34eb622f69a7138

Scope of Project

Subject Terms: atmospheric and climatic processes; hydrology; water quality; Water Resources

Geographic Coverage: Chesapeake Bay, United States

Time Period(s): 1995 – 2025

Collection Notes: Downloaded 2025-11-25

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Published Versions

V1 [2025-12-09]

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