hydroshare
HydroShare is CUAHSI's online collaboration environment for sharing data, models, and code.
The Space team has made the following datasets and collections publicly available. You must be a logged-in member of the Space to access all the datasets and collections.
Datasets
Viewing most recent datasets View All Datasets
LCZO -- Stream Water Chemistry, Stream Ecology -- Data and R scripts -- Eastern Puerto Rico -- (2009-2014)
R scripts presented as Jupyter Notebooks and data to generate load and concentration estimates produced for the journal publication:
McDowell, W. H., McDowell, W. G., Potter, J. D. and Ramírez, A. (2018), Nutrient export and elemental stoichiometry in an urban tropical river. Ecol Appl. Accepted Author Manuscript. doi:10.1002/eap.1839 https://www.hydroshare.org/resource/59ec9745d51646eb8efda5e4a6b08d5f
Tracking Drought Impacts Across Space, Time, Sectors and Scales
Hydrologic Extremes and Society
Chair: Hilary McMillan (San Diego State University)
This session focuses on observations, prediction, communication and adaptation to hydrologic extremes. By bringing together ideas from flood and drought research, we analyze similarities and differences in societal impacts and interactions with these two extremes. We explore how providing observations and information about hydrologic extremes can change the way societies understand and react to crisis events.
"Tracking Drought Impacts Across Space, Time, Sectors and Scales"
Speaker: Kelly Smith (University of Nebraska Lincoln)
In the 1990s and early 2000s, drought disaster researchers called for creation of a comprehensive database of drought impacts. But creation of such a database presumes that there is a single perspective from which all impacts will be visible. In fact, drought impacts are like fractals – as you focus on smaller scales, new realms of detail become apparent. An individual farmer’s drought-related loss or the hardship that an agricultural community experiences may be completely lost when drought impacts are aggregated to a national scale. Furthermore, drought impacts occur within specific contexts – a household has to water landscape and garden plants more; a reservoir operator produces less hydropower; fish die because a river dried up; fewer lift tickets are sold when there is no snow; and so on. Decision-makers in each of these sectors may or may not consider drought – an abstraction, often one of many pressures – as causing a separate impact, and they typically describe its effects, nested within a context that includes both long- and short term institutional effects. And many people have the adaptive capacity to foresee and prevent losses – a ski resort may offer hiking opportunities instead – so lack of water does not always translate into a drought impact. While this may seem obvious, it means there is no common framework for identifying, let alone quantifying, drought impacts. Sector and scale both matter. Large-scale commodity crops and hydropower production are some of the easiest drought impacts to quantify. Health effects to individuals and ecosystems are some of the hardest. Data collection requires resources, and in the absence of unlimited resources, we need to determine what data needs to be collected – or analyzed – to manage drought impacts. https://www.hydroshare.org/resource/a28aa1d4c2b64519a03d668a970d0c6f
12_BearCreekAddition_SiteModel
Part of Stroud Water Research Center’s (SWRC) development modelling project for Open Space Institute's (OSI) Land Protection Impact Assessment (LPIA). Parcel analysis carried out by Model My Watershed's (MMW) Site Storm Model. Analyzing the following:
1) Forest to Open Space Development
2) Forest to Low Density Development
3) Forest to Medium Density Development
4) Forest to High Density Development
5) OSI’s Development Scenario https://www.hydroshare.org/resource/fd1b179a8c2143de8e8c1dc21231c864
DeadRun Discharge Observation Data
Observation discharge data required for DeadRun Green Infrastructure workflow demonstration. https://www.hydroshare.org/resource/7feec694d0b140b5991ce20135c1dcef
CCZO -- Streamflow / Discharge -- Calhoun CZO -- (2014-2017)
Capacitance rod installed in Weir 4 stilling pool, located in watershed 4, midway between USFS road 325 (top of hillslope) and Holcombe's Branch. Measuring Discharge/Runoff via stage (5 min resolution) in stilling pool of 90 degree v-notch weir and USFS rating curve: Q = 2.48*(h(ft))^2.49; Q = discharge in cfs, h = stage in feet. Discharge data converted to L/s. Runoff data, in mm/hr, calculated by normalizing discharge to watershed 4 area (6.9 ha). Capacitance water level meter is TruTrack, WT-HR 1000 (http://www.trutrack.com/WT-HR.html), manually donwloaded every six weeks.
Date Range Comments: Water Years 2015-2016 https://www.hydroshare.org/resource/a22295e88b204d5997faeeaebb4dbe09
USGS discharge information for site 10150500
This resource contains a WaterML retrieved from the USGS IV service by the Gaugeviewer WaterML application representing observed discharge data for gauge number 10150500, which is located at lat: 40.049678 long: -111.547971 https://www.hydroshare.org/resource/d28685eb86474737ae93cc901f78dbb0
Demographic Profile of Puerto Rico
Demographic and legislative boundaries for Puerto Rico. https://www.hydroshare.org/resource/ea01f4863ead453bbc478fa35ac08f92
PC089
Land Use Value export for sub-watershed area within the Pequea Creek watershed. https://www.hydroshare.org/resource/bc4ea4ed41ad44c68bcd6650f297c694
LNWB Ch05 Land Cover
Overview:
Land cover mapping represents the coverage of vegetation, bare, wet and built surfaces (developed and natural surfaces) at a given point in time. The existing land cover map was developed by Whatcom County Planning and Development Services (PDS) during spring of 2012 for the Lower Nooksack Water Budget. The dataset represents ground conditions between 2006 and 2010. The project team created the existing condition land cover dataset by combining local and regional datasets to get the most accurate and current data for the U.S. and Canadian portions of WRIA 1. The development of the existing land cover map includes 14 land cover categories; each has a unique impact on the water balance. The agricultural land cover class was further classified into crop types.
Land cover and crop types influence evapotranspiration and infiltration, playing an important role in determining the watershed’s water balance. Land cover data provides information used to parameterize the water movement through the vegetation canopy and water demand of plant evapotranspiration in the estimation of the water budget by the hydrology model.
Land cover changes over time, as exemplified by comparing the existing and historic land cover data in WRIA 1, displayed in Figure 1 and Figure 2. Historic land cover mapping developed by Utah State University (Winkelaar, 2004) as part of the WRIA 1 Watershed Management Project was used to represent land cover/land use for the undepleted flow simulations. This work was done using a suite of studies and ancillary datasets, including turn of the century GLO maps and NRCS soils data. Methods and sources more thoroughly described in Mapping Methodology and Data Sources for Historic Conditions Landuse/ Landcover Within Water Resource Inventory Area 1 (WRIA1) Washington, U.S.A. The historic land cover map includes 10 land cover classes.
Purpose:
Within the Topnet-WM hydrologic model used to estimate the Lower Nooksack Water Budget, the local land cover type is used to parameterize the water movement through the vegetation canopy and water demand for plant evapotranspiration, as described in detail in Chapter 2: Water Budget Model. Water input to the canopy comes from rainfall, snowmelt, and irrigation. The process of some water retention by the canopy is known as interception. Potential evapotranspiration is first satisfied from the canopy interception storage. Water that passes through the canopy to the soil becomes input to the vadose zone soil storage. The vadose zone is the unsaturated soil region above the water table. Potential evapotranspiration not satisfied from the interception storage becomes potential evapotranspiration from the vadose zone soil storage. The model calculates crop evapotranspiration using the Penman-Monteith method. Irrigation requirements are calculated using potential crop evapotranspiration and irrigation efficiency. Land cover mapping also identifies impervious surfaces where water directly runs off, as well as lakes and wetlands where water is stored and evaporates.
This resource is a subset of the Lower Nooksack Water Budget (LNWB) Collection Resource. https://www.hydroshare.org/resource/479ae9daeec34b48885f7645ea0966b4
Collections
There are no collections associated with this Space.
The following datasets have been published through this Space and any affiliated Spaces.
Statistics
| Collections | 0 |
| Datasets | 4,185 |
| Files: | 0 |
| Bytes: | 0 B |
| Users: | 1 |
External Links
No External Links