Lorne Leonard
The Pennsylvania State University | Research Associate
| Subject Areas: | Hydrology, Computer Science, Workflows, HPC, GIS, Visualization |
Recent Activity
ABSTRACT:
This notebook generates an XML file containing up or down stream Level-12 HUCs from a user specified HUC anywhere in the Contiguous United States (CONUS).
Briefly, the resultant XML file contains the following information:
[1] "WhereStrings" for selecting HUCs within the National Hydrography Dataset (NHD) using SQL in ArcMap or QTGIS.
[2] Location of stream outlets "Intersection Points" between Level-12 HUCs.
[3] A list of Closed Basins within the graph hierarchy.
[4] A list of NLDAS cell ids for forcing selection.
[5] Graph selection lists using DFS, BFS and undirected Dijkstra graphs. With distances to CONUS Level-12 HUCs.
ABSTRACT:
This script generates an XML file containing up or down stream Level-12 HUCs from a user specified HUC anywhere in the Contiguous United States (CONUS).
Briefly, the resultant XML file contains the following information:
[1] "WhereStrings" for selecting HUCs within the National Hydrography Dataset (NHD) using SQL in ArcMap or QTGIS.
[2] Location of stream outlets "Intersection Points" between Level-12 HUCs.
[3] A list of Closed Basins within the graph hierarchy.
[4] A list of NLDAS cell ids for forcing selection.
[5] Graph selection lists using DFS, BFS and undirected Dijkstra graphs. With distances to CONUS Level-12 HUCs.
INPUTS
"-i", "--huc12id" Level-12 HUC numerical identification i.e. 020502040102 for Slab Cabin Run
"-r", "--reverse" Reverse selection i.e. false (default) selects upstream, true indicates downstream
"-o", "--ofolder" Output folder location
Example usage
[Windows]: python.exe get_HUC_Graph.py -i 020502040102 -r false -o c:\
[Ubuntu]: python3 get_HUC_Graph.py -i 020502040102 -r false -o \tmp
Further information is available here:
http://ivi.sagepub.com/lookup/doi/10.1177/1473871616661868
https://doi.org/10.13140/RG.2.1.4397.0004
ABSTRACT:
Dead Run Viz example with GI Design
ABSTRACT:
Deadrun Allometric database file for demonstration
ABSTRACT:
Update DeadRun Rules for workshop demonstration.
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Created: Nov. 30, 2016, 7:17 p.m.
Authors: Lorne Leonard
ABSTRACT:
HydroTerre ETV Data Bundle for Level-12 HUC 060102020105
Further information about how ETV data bundle was generated here:
Leonard L., Duffy C., 2013, “Essential Terrestrial Variable Data Workflows for Distributed Water Resources Modeling”, International Environmental Modelling & Software, Vol 50, pp 85-96
http://dx.doi.org/10.1016/j.envsoft.2013.09.003
Created: Dec. 1, 2016, 2:22 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin
ABSTRACT:
This is the HydroTerre ETV data bundle required for the sample RHESSys workflow notebook tutorial.
Created: Dec. 1, 2016, 2:35 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin
ABSTRACT:
This is the sample observation file required for the sample RHESSys workflow notebook tutorial.
Created: Dec. 9, 2016, 8:40 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin · Jon Duncan
ABSTRACT:
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
This notebook uses custom datasets and is for advanced users comfortable with a linux terminal and using text editor such as Vi.
Dead Run, USGS gage 01589330 is located at Franklintown MD.
The general steps to use RHESSys workflows
1 Register DEM
2 Import Gage
3 Download soil data
4 Prepare Land Cover data
5 Download LAI data
6 Create a new GRASS GIS Location
7 Import RHESSys code and compile (automatically or manually)
8 Import Climate data
9 Delineate watershed
10 Generate Patch map
11 Process soil maps
12 Generate derived landcover maps
13 Generate Rules and Reclassify
14 Generate template
15 Create world
16 Create flow table
17 Initializing vegetation carbon and nitrogen stores
18 Creating a RHESSys TEC file
19 Running RHESSys models
This notebook is built on RHESSys sample workflow and RHESSys Workflow at Coweeta, NC examples. Not all steps are documented. Here we focus on explaining new or modifications.
Created: Dec. 9, 2016, 8:42 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin · Jon Duncan
ABSTRACT:
US Forest Service WS18 is a 12.3ha, mixed hardwood-oak, control catchment that’s been undisturbed since 1927.
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
This notebook is built on RHESSys sample workflow. Not all steps are documented. Here we focus on explaining new or modifications.
Created: Jan. 9, 2017, 6:12 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin · Jon Duncan
ABSTRACT:
RHESSys Model version 5.18.r2 used in HydroShare's Jupyter RHESsys notebooks.
Created: Jan. 10, 2017, 8:44 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin · Jon Duncan · Charles Scaife · John Lovette
ABSTRACT:
Dead Run RHESSys Workflow with supplied GIS data preparation
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
This notebook assumes data steps 1 to 13 have already been prepared and uploaded as a HydroShare resource.
This notebook focuses on general steps 14 to 19 using the Dead Run catchment.
14 Generate template
15 Create world
16 Create flow table
17 Initializing vegetation carbon and nitrogen stores
18 Creating a RHESSys TEC file
19 Running RHESSys models
Users interested in seeing step outputs, remove output = from the command line.
Created: Jan. 23, 2017, 10:09 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin · Jon Duncan · Charles Scaife · John P Lovette
ABSTRACT:
Ellerbe Creek is a small urban catchment about 6 sq mi, monitored by USGS 0208675010. Most urban area in this catchment is residential housing with lawn and yards.
Created: Jan. 25, 2017, 7:45 p.m.
Authors: Lorne Leonard · Brian Miles · Lawrence Band · Laurence Lin · Jon Duncan · Charles Scaife · John P Lovette
ABSTRACT:
RHESSysWorkflows provides a series of Python tools for performing [RHESSys](https://github.com/RHESSys/RHESSys) data preparation workflows. These tools build on the workflow system defined by [EcohydroLib](https://github.com/selimnairb/EcohydroLib) and [RHESSysWorkflows](https://github.com/selimnairb/RHESSysWorkflows).
This notebook assumes general steps 1 to 13 are an existing resource within HydroShare.
This notebook focuses on general steps 14 to 19 using the Ellerbe Creek catchment
14 Generate template
15 Create world
16 Create flow table
17 Initializing vegetation carbon and nitrogen stores
18 Creating a RHESSys TEC file
19 Running RHESSys models
Users interested in seeing step outputs, remove **output = ** from the command line.
Note, some output lengths are very long and this notebook will become large in disk size.
Created: April 3, 2017, 1:45 p.m.
Authors: Lorne Leonard · Lawrence Band
ABSTRACT:
Using the GI (Green Infrastructure) designer web site, users design green infrastructure via GIS maps and web services to create datasets for RHESSys workflows.
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
Created: April 11, 2017, 7:29 p.m.
Authors: Lorne Leonard · Lawrence Band
ABSTRACT:
Using the GI (Green Infrastructure) designer web site, users design green infrastructure via GIS maps and web services to create datasets for RHESSys workflows.
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
ABSTRACT:
Script needed for:
Green Infrastructure Designer web site with RHESSys Workflow.
Using the GI (Green Infrastructure) designer web site, users design green infrastructure via GIS maps and web services to create datasets for RHESSys workflows.
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
Created: April 13, 2017, 12:10 a.m.
Authors: Lorne Leonard · Lawrence Band
ABSTRACT:
Using the GI (Green Infrastructure) designer web site, users design green infrastructure via GIS maps and web services to create datasets for RHESSys workflows.
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
Created: April 16, 2017, 8:34 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Data required for DeadRun Green Infrastructure workflow demonstration.
Created: April 16, 2017, 8:46 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Data required for DeadRun Green Infrastructure workflow demonstration.
Created: April 16, 2017, 9:14 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Data required for DeadRun Green Infrastructure workflow demonstration.
Created: April 17, 2017, 5:21 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Data required for DeadRun Green Infrastructure workflow demonstration.
Created: April 17, 2017, 5:28 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Data required for DeadRun Green Infrastructure workflow demonstration.
Created: April 17, 2017, 6:26 p.m.
Authors: Lorne Leonard · Lawrence Band · Laurence Lin · Brian Miles
ABSTRACT:
Using the GI (Green Infrastructure) designer web site, users design green infrastructure via GIS maps and web services to create datasets for RHESSys workflows.
RHESSysWorkflows provides a series of Python tools for performing RHESSys data preparation workflows. These tools build on the workflow system defined by EcohydroLib and RHESSysWorkflows.
This version does not require user to edit files with text editor.
Created: April 21, 2017, 9:58 p.m.
Authors: Lorne Leonard · Brian Miles · Laurence Lin · Jon Duncan · Lawrence Band
ABSTRACT:
Observation discharge data required for DeadRun Green Infrastructure workflow demonstration.
Created: April 22, 2017, 12:19 p.m.
Authors: Lorne Leonard · Lawrence Band · Brian Miles · Laurence Lin · Jon Duncan
ABSTRACT:
RHESSys DeadRun model results for 2008-01-01 to 2009-03-01.
Example results for Green Infrastructure workflow demonstration.
Created: April 25, 2017, 5:03 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Update DeadRun Rules for workshop demonstration.
Created: April 25, 2017, 6:55 p.m.
Authors: Lorne Leonard · Laurence Lin · Lawrence Band
ABSTRACT:
Deadrun Allometric database file for demonstration
ABSTRACT:
Dead Run Viz example with GI Design
Created: July 27, 2017, 3:19 p.m.
Authors: Lorne Leonard
ABSTRACT:
This script generates an XML file containing up or down stream Level-12 HUCs from a user specified HUC anywhere in the Contiguous United States (CONUS).
Briefly, the resultant XML file contains the following information:
[1] "WhereStrings" for selecting HUCs within the National Hydrography Dataset (NHD) using SQL in ArcMap or QTGIS.
[2] Location of stream outlets "Intersection Points" between Level-12 HUCs.
[3] A list of Closed Basins within the graph hierarchy.
[4] A list of NLDAS cell ids for forcing selection.
[5] Graph selection lists using DFS, BFS and undirected Dijkstra graphs. With distances to CONUS Level-12 HUCs.
INPUTS
"-i", "--huc12id" Level-12 HUC numerical identification i.e. 020502040102 for Slab Cabin Run
"-r", "--reverse" Reverse selection i.e. false (default) selects upstream, true indicates downstream
"-o", "--ofolder" Output folder location
Example usage
[Windows]: python.exe get_HUC_Graph.py -i 020502040102 -r false -o c:\
[Ubuntu]: python3 get_HUC_Graph.py -i 020502040102 -r false -o \tmp
Further information is available here:
http://ivi.sagepub.com/lookup/doi/10.1177/1473871616661868
https://doi.org/10.13140/RG.2.1.4397.0004
Created: July 27, 2017, 3:39 p.m.
Authors: Lorne Leonard
ABSTRACT:
This notebook generates an XML file containing up or down stream Level-12 HUCs from a user specified HUC anywhere in the Contiguous United States (CONUS).
Briefly, the resultant XML file contains the following information:
[1] "WhereStrings" for selecting HUCs within the National Hydrography Dataset (NHD) using SQL in ArcMap or QTGIS.
[2] Location of stream outlets "Intersection Points" between Level-12 HUCs.
[3] A list of Closed Basins within the graph hierarchy.
[4] A list of NLDAS cell ids for forcing selection.
[5] Graph selection lists using DFS, BFS and undirected Dijkstra graphs. With distances to CONUS Level-12 HUCs.