This posting contains the source climate data used to run the SWAT model in the Tuckahoe and Greensboro subwatersheds of the Choptank River watershed, Maryland.

This posting contains the source stream flow and load data used to run the SWAT model in the Greensboro subwatershed of the Choptank River watershed, Maryland.

This posting contains the stream flow and load data used to run the SWAT model in the Tuckahoe subwatershed of the Choptank River watershed, Maryland.

This posting contains the source crop rotation data used to run the SWAT model in the Tuckahoe and Greensboro subwatersheds of the Choptank River watershed, Maryland. The dataset consists of the following items: Croprotations.zip = Shapefiles of HRU boundaries and crop rotations for Greensboro (GSB) and Tuckahoe (TK) watershed

The Apalachicola-Chattahoochee-Flint River Basin (ACFB) was modeled to produce fourteen simulations of streamflow for demonstration of enhancements to the Precipitation Runoff Modeling System (PRMS); seven simulations without water use effects and seven simulations with water use effects. The seven simulations without water use were for 1) the whole ACFB basin (1982-2012), 2) the Chestatee River sub-basin (1982-2012), 3) the Chipola River sub-basin (1982-2012), 4) the Ichawaynochaway Creek sub-basin (1982-2012), 5) the Potato Creek sub-basin (1942-2012), 6) the Spring Creek sub-basin (1952-2012), and 7) the upper Chattahoochee River sub-basin (1982-2012). The seven simulations with water use effects were for the period 2008-2012. These data document the PRMS output data files from each of these simulations. Output files for the simulations include: 1) statvar files of streamflow for each stream segment, 2) annual streamflow statistic files, 3) nhru-summary files of the major water availability fluxes and storages of the coarse-resolution model (includes precipitation, recharge, actual evapotranspiration, runoff, and storage for the hydrologic response units (HRUs), and 4) a file of PRMS-simulated recharge mapped to MODFLOW groundwater cells using the PRMS map_results module for use as input to simulations developed by Jones and others (2017).

This dataset represents the wetness index within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Composite Topographic Index (See Supplementary Info for Glossary of Terms). The Composite Topographic Index (CTI) is based on contributing area, slope, and overland flow and has been developed internally at the EPA for the EnviroAtls (http://edg.epa.gov/data/Public/ORD/EnviroAtlas/National/). As defined for use in EnviroAtlas datasets and as used here, wet areas are typically created by runoff from natural land cover when rain falls on saturated soil. Surface and rill (or small channel) runoff carries excess water to lowland depressions or wet areas. Runoff collects in wet areas until they fill and overflow downstream. In this way, stream networks can be extended into new areas that would not be hydrologically connected during drier times. Wet area expansion and watershed hydrological connectivity differ between humid temperate and semi-arid and arid climates (where drought and soil crusts limit infiltration and produce flashier runoff) (from https://enviroatlas.epa.gov/enviroatlas/datafactsheets/pdf/ESN/PercentForestonWetAreas.pdf). The Mean Composite Topographic Index (CTI)[Wetness Index] were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents predictions made to individual, local NHDPlusV2 stream segments. Attributes were calculated for every local NHDPlusV2 stream segment. (See Supplementary Info for Glossary of Terms). These predictions were made to provide estimates of reference-condition stream temperatures in support of the 2008-2009 and 2013-2014 (forthcoming) National Rivers and Streams Assessments. These predictions were based on a set of published models (Hill et al. 2013; http://www.journals.uchicago.edu/doi/abs/10.1899/12-009.1). From Hill et al. (2013): "We modeled 3 ecologically important elements of the thermal regime: mean summer, mean winter, and mean annual stream temperature. These models used a set of least-disturbed USGS stations and sites to model stream temperatures from a set of landscape metrics. To build reference-condition models, we used daily mean ST data obtained from several thousand US Geological Survey temperature sites distributed across the conterminous USA and iteratively modeled ST with Random Forests to identify sites in reference condition. These data are summarized to produce local stream segment-level metrics as a continuous data type.

This tabular data set represents annual average temperature values (Celsius) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the temperature data with NHDPlusV2 is achieved through the common unique identifier COMID. The temperature values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

Continuous Temperature Data. Raw Hobo data files collected at Kootenai NWR (Myrtle Creek) and compiled at a regular frequency into a annual (cleaned) dataset (Excel). Myrtle Creek had three locations monitored during the pilot project and these data are included in this dataset. Each location could have multiple loggers deployed (planned redundancy in case of logger failure). See the CURRENT-TL-Logger Log for details at https://ecos.fws.gov/ServCat/Reference/Profile/132469. MYRTSK01W: 48.706196, -116.417505 MYRDSA01W: 48.708889, -116.415750 MYRDSA02A: 48.709616, -116.412114

This tabular data set represents monthly average temperature values (Celsius) described in Wolock and McCabe (2018), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the temperature data with NHDPlusV2 is achieved through the common unique identifier COMID. The temperature values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified-routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.