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  • Real-Time Data Aquisition – Ricardo Mantilla
    Real Time Data Aquisition Stuff I learned from UNIDATA Last modified on April 2nd 2015 Posted on March 17th 2015 Home Curriculum Vitae Funding Media Coverage Research MRN Research Group River Network Topology Scaling of Peak Flows Hillslope hydrology Tile drainage Hydraulic Geometry Flood forecasting Inundation Mapping Drone History Drone Test Flight Flight 1 April 26 2015 Flight 2 June 27 2015 Software Developement Real Time Data Aquisition Cuencas Tutorial

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/research/real-time-data-aquisition/ (2015-11-11)
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  • Tutorial – Ricardo Mantilla
    has been divided in 5 parts Region Selection and Data Download DEM and Blue Lines Creation of a Database Data import procedures River network extraction from DEM Basin Selection and Analysis Running a simple rainfall runoff simulation A more complex rainfall runoff simulation Last modified on January 18th 2013 Posted on January 17th 2013 Home Curriculum Vitae Funding Media Coverage Research MRN Research Group River Network Topology Scaling of Peak

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/tutorial/ (2015-11-11)
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  • Screenshots – Ricardo Mantilla
    The network analysis module The locations viewer The maps display The tRIBS I O module Link Hillslope Decomposition overlaid on Google Earth Last modified on January 18th 2013 Posted on January 18th 2013 Home Curriculum Vitae Funding Media Coverage Research MRN Research Group River Network Topology Scaling of Peak Flows Hillslope hydrology Tile drainage Hydraulic Geometry Flood forecasting Inundation Mapping Drone History Drone Test Flight Flight 1 April 26 2015

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/screenshots/ (2015-11-11)
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  • Contributors – Ricardo Mantilla
    Peer reviewed Articles Book Chapters Published Reports Theses Conference Presentations In Preparation Links Contributors I want to thank the people who have contributed to the improvement or enhancement of the source code for Cuencas So far the following people have written code for Cuencas Tibebu Ayalew University of Iowa André Della Libera Zanchetta University of Iowa Luciana Cunha West Consultants Jorge Mario Ramirez Oregon State University Peter Furey University of Colorado and CORA Matt Luck University of New Mexico John Mobley University of Colorado Jesus D Gomez New Mexico Tech Olver Hernadez Universidad Nacional de Colombia I also want to acknowledge the financial support of the National Science Foundation CIRES and the Water Resources Department at the Universidad Nacional de Colombia and New Mexico Tech Last modified on August 20th 2015 Posted on January 18th 2013 Home Curriculum Vitae Funding Media Coverage Research MRN Research Group River Network Topology Scaling of Peak Flows Hillslope hydrology Tile drainage Hydraulic Geometry Flood forecasting Inundation Mapping Drone History Drone Test Flight Flight 1 April 26 2015 Flight 2 June 27 2015 Software Developement Real Time Data Aquisition Cuencas Tutorial I Region Selection and Data Download II Creation of a Database III Data Import

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/contributors/ (2015-11-11)
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  • Documentation – Ricardo Mantilla
    Manual CUENCAS JavaDoc An illustration of the Link Hillslope decomposition as it exists on the terrain Last modified on January 18th 2013 Posted on January 18th 2013 Home Curriculum Vitae Funding Media Coverage Research MRN Research Group River Network Topology Scaling of Peak Flows Hillslope hydrology Tile drainage Hydraulic Geometry Flood forecasting Inundation Mapping Drone History Drone Test Flight Flight 1 April 26 2015 Flight 2 June 27 2015 Software

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/documentation/ (2015-11-11)
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  • Databases – Ricardo Mantilla
    contents of each of the above mentioned folders Rasters This is perhaps the most important folder It contains all the spatially distributed fields Data in this folder has been classified in two groups additional subfolders Topography and Hydrology The Topography subfolder stores all the information about DEMs and is looked at in a special manner by Cuencas Usually there will only be one DEM per database but it can also be the case that the user may have additional DEMs of subregions with different spatial resolution or coverage or simply from different sources The Hydrology folder is meant to contain every other spatial field including precipitation evaporation land use vegetation and temperature fields The user can create as many subfolders inside these two folders as needed to classify its own specific information The data format is very specific and documentation for it has been created Data formats are provide for DEMs in the Topography folder and for all the other hydrological or climatic variables as well as some scripts to interact with the data This folder can be populated by means of importing DEMs from other formats into the Cuencas format using the tools in the menu File Import Import DEM or File Import Import Hydroclimatic Raster Sites This folder is designed to contain information about locations and gauges It is key to those interested in time series analysis and it is very useful to create reference points that can be later on displayed on top of maps Pictures can be associated with the locations created The data format for sites can be found here Vectors This folder holds vector information such as roads blue lines etc The folder accepts two kinds of formats Shapefiles and DLGs More inforamtion about these two data formats is provided here Lines Similar to

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/databases/ (2015-11-11)
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  • Data Formats – Ricardo Mantilla
    given under the Information tag Southernmost Latitude Given in the deg min sec format e g 39 33 49 50 N Westernmost Longitude Same format as above Longitudinal Resolution ArcSec A float numeric value given in seconds Latitudinal Resolution ArcSec A float numeric value given in seconds Columns The number of columns for the data array Rows The number of rows for the data array Format A string indicating the data format It can be either Byte Integer Float or Double Missing A value for missing value Temporal Resolution A number and a string e g 5 minutes Units use the STN units system Information All the relevant information about this DEM A typical metafile can be found here The group of companion binary file should have the same format number of columns and rows and the same spatial coverage The extension holds the key to understand the time variability of the data and it has to be consistent with the tag Temporal Resolution in the metafile The extension of a vhc file looks like this hhmmss dd month yyyy vhc and it can be manipulated to get almost any kind of time variability on your data It will be illustrated by examples to avoid long explanations Annual Average In this case there will only be a single companion file for the metafile The file extension should look like this varname average vhc Annual Data In this case there can be as many companion files as necessary The file extension should look like this name yyyy vhc As an example assume you have annual accumulated precipitation values the group of files would look like this precip 1986 vhc precip 1987 vhc precip 1988 vhc precip 1989 vhc precip 1990 vhc precip 1991 vhc precip 1992 vhc Monthly Average s In this case there will be 12 companion files for the metafile The file extension should look like this name month average vhc As an example assume you have evaporation monthly means the group of files would look like this evap January average vhc evap February average vhc evap March average vhc evap October average vhc evap November average vhc evap December average vhc Monthly Data In this case there can be as many companion files as necessary The file extension should look like this name month yyyy vhc As an example assume you have monthly temperature values the group of files would look like this temp January 2002 vhc temp February 2002 vhc temp March 2002 vhc temp October 2002 vhc temp November 2002 vhc temp December 2002 vhc temp January 2003 vhc temp February 2003 vhc temp March 2003 vhc temp Octover 2004 vhc temp November 2004 vhc temp December 2004 vhc Daily Average s In this case there will be 365 6 companion files for the metafile The file extension should look like this name dd month average vhc As an example assume you have radiation daily means the group of files would look like this radiation 01

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/databases/raster-data/ (2015-11-11)
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  • Link-Hillslope Decomposition – Ricardo Mantilla
    Cibola National Forest USDA Forest Service 1 The Cuencas network can be overlaid on top of digital photos using Google Earth The Cuencas network can be overlaid on a digital photo using Google Earth 2 The Cuencas network provides a unique decomposition of the terrain into Link Hillslope Decomposition of the terrain in Link Hillslope 3 Does Cuencas Network reflect the network that exists on the landscape transparencies Cuencas Network reflects the network that exists on the landscape 4 Does Cuencas Link Hillslope exist on the landscape transparencies Cuencas Link Hillslope exists on the landscape 5 A three dimensional look allows us to understand the meaning of this decomposition in terms of landscape features and interior and an exterior link A three dimensional look 6 The decomposition is consistent with landscape features throughout the network The decomposition is consistent with landscape features throughout the network 7 Any other decomposition of this basin e g catchment in the sense of MIKE SHE or planes in the sense of KINEROS would require equations that account for the aggregation that is being done The Quartz Hill Outlet 7 Google it yourself Get the overlay here Last modified on January 18th 2013 Posted on

    Original URL path: http://www.iihr.uiowa.edu/rmantilla/cuencas/the-meaning-of-the-link-hillslope-decomposition-as-it-exists-on-the-terrain/ (2015-11-11)
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