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        <title>Welcome to CLAWRIM Wiki</title>
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        <description>Welcome to CLAWRIM Wiki

The Computational Lab for Advanced Water Resources Informatics and Modeling (CLAWRIM) is Dr. Huidae Cho&#039;s research group in the Department of Civil Engineering at New Mexico State University (NMSU). Their research focuses on the broad applications of Geographic Information Systems (GIS) and computational methods to water resources informatics and modeling. They use this wiki site to share project information and document their research for internal collaboration. Check &lt;…</description>
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        <title>Literature</title>
        <link>https://clawiki.isnew.info/literature?rev=1749669892&amp;do=diff</link>
        <description>Literature

	*  Understanding the Monte Carlo Markov Chain: A Key to Bayesian Inference
	*  GLOBGM v1.0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model
	*  A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model
	*  New Mexico&#039;s Climate in the 21st Century: A Great Change is Underway
	*  Climate Change in New Mexico Over the Next 50 Years: Impacts on Water Resources
	*  New Mexico Universities Working …</description>
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        <title>Efficient longest flow path algorithm</title>
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        <description>Efficient longest flow path algorithm

Workspace

r.accumulate



\[
\def\LFP{\overrightarrow{\text{LFP}}}
\def\FP{\overrightarrow{\text{FP}}}
\def\FL{\text{FL}}
\def\DFL{\text{DFL}}
\def\UFL{\text{UFL}}
\def\LFL{\text{LFL}}
\]

A flow path $\FP_i$ is the watercourse between a pair of two points $i$ within the watershed and the longest flow path $\LFP$ is defined as

\[
  \LFP\in\left\{\FP_i\;:\;\left|\FP_i\right|\geq\left|\FP_j\right|\;\forall i\neq j\right\}.
\]

The longest flow path plays an…</description>
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        <title>Formatting Syntax</title>
        <link>https://clawiki.isnew.info/wiki/syntax?rev=1757465058&amp;do=diff</link>
        <description>Formatting Syntax

DokuWiki supports some simple markup language, which tries to make the datafiles to be as readable as possible. This page contains all possible syntax you may use when editing the pages. Simply have a look at the source of this page by pressing</description>
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        <title>CanoPy tutorial</title>
        <link>https://clawiki.isnew.info/software/canopy/tutorial?rev=1722746922&amp;do=diff</link>
        <description>CanoPy tutorial

CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). For further information about this project, please refer to the CanoPy page.

This document explains detail steps for assessing canopy using the CanoPy module and a provided sample data set. To learn more about this module, please read the</description>
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        <dc:date>2023-09-27T13:52:00+00:00</dc:date>
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        <title>Conferences</title>
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        <description>Conferences


 Conference                                                                                                                                                                           Host</description>
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        <title>Flood</title>
        <link>https://clawiki.isnew.info/flood?rev=1620919197&amp;do=diff</link>
        <description>Flood

Flood mapping

	*  Towards global flood mapping onboard low cost satellites with machine learning

Flood prediction

	*  Flood Prediction Using Machine Learning Models: Literature Review
	*  An Innovative Flood Prediction System Using Improved Machine Learning Approach</description>
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        <description>2021 academic opportunities

ASABE 2021 International Symposium on Soil Erosion Research under a Changing Climate

	*  &lt;https://www.asabe.org/21SoilErosion&gt;
	*  Abstracts due by Saturday, February 15, 2020
	*  Sunday, January 10--Friday, January 15, 2021
	*  Punta Borinquén Resort, Aguadilla, Puerto Rico</description>
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        <dc:date>2020-05-21T22:53:41+00:00</dc:date>
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        <link>https://clawiki.isnew.info/iesa_seminar_series/2020_spring?rev=1590101621&amp;do=diff</link>
        <description>Spring 2020 IESA seminar series

More about the IESA seminar series

Cancelled because of COVID-19

	*  Room: Science 264
	*  Time: Fridays 1--2pm
 Date          Presenter                            Title</description>
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        <title>Fast flow accumulation</title>
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        <description>Fast flow accumulation

This project will improve the speed of flow accumulation.

MEFA



Preliminary results

	*  Systems
		*  Linux 4.14.39 with SSD and 16GB RAM on Yoga 370
		*  ArcGIS on UNG Windows with SSD and 32GB RAM

	*  Data: Texas drain raster from</description>
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        <dc:date>2024-08-04T04:28:43+00:00</dc:date>
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        <title>Rincon Arroyo HEC-RAS 2D modeling</title>
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        <description>Rincon Arroyo HEC-RAS 2D modeling

Workspace

This is the objective function surface of an unsteady 2D HEC-RAS model that minimizes the volume error and maximizes the NSE by trying 10,000 different combinations of the curve number and Manning’s n. That best model (still with a 5.75% volume error) is very hard to find on a relatively flat valley. Calibrating the RAS parameters for an arid region like southern New Mexico is not easy at all without much flow data.</description>
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        <title>CanoPy technical manual</title>
        <link>https://clawiki.isnew.info/software/canopy/technical_manual?rev=1722746586&amp;do=diff</link>
        <description>CanoPy technical manual

CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). For further information about this project, please refer to the CanoPy page.

This document outlines the uses and methodology of the functions contained within the CanoPy module. To learn how to use this module, please read the</description>
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        <title>CanoPy user manual</title>
        <link>https://clawiki.isnew.info/software/canopy/user_manual?rev=1722746586&amp;do=diff</link>
        <description>CanoPy user manual

CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). For further information about this project, please refer to the CanoPy page.

This document explains how to use the CanoPy module. For technical details, please read the CanoPy technical manual. Also refer to the CanoPy tutorial.

Authors</description>
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