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This site is under construction as of 1/21/2020
#REDIRECT [[Colorado_River_Science_Wiki]]
 
 
[[File:Basin_science_map.png|thumb|400px|'''Figure 1.''' Representation of the different models and data, and their underlying science, applied to decision-making in the Colorado River Basin. (Design: J. Lukas, adapted from L. Payton; basin map by Western Water Assessment (L. Woelders); thumbnail images from University of Washington VIC group, NOAA Colorado Basin River Forecast Center, and Reclamation)]]
 
[[File:2025 4 panel Plot Udall.jpg|thumb|400px|link=Current_conditions#The_Colorado_River_.274-panel_plot.27|'''Figure 2.''' The "4-panel plot" showing trends in Colorado River Basin reservoir storage, natural streamflow, precipitation, and temperature, through Water Year 2025. Click on the figure for a larger version. (Figure: Brad Udall; Data: Reclamation - reservoir storage and streamflow; NOAA NCEI - precipitation and temperature)]]
 
 
 
 
The '''Colorado River Science Wiki''' is a web-based clearinghouse for scientific and technical information relevant to the Colorado River Basin and the management of its water resources and related natural resources. This clearinghouse is intended to be useful to managers and other decision-makers, to researchers, to the media, and to the broader public.
 
We welcome your feedback; please use this [https://docs.google.com/forms/d/e/1FAIpQLSfVXdC1lZde88uk5Nld1qnDDtzXQr1XaDIjFo1KlQ1shCY20A/viewform form] to send us suggestions, or reach us at the contact information below.
 
 
 
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[[File:Basin_science_map.png|thumb|400px|'''Figure 1.''' Representation of the different models and data, and their underlying science, applied to decision-making in the Colorado River Basin. (Design: J. Lukas, adapted from L. Payton; basin map by Western Water Assessment (L. Woelders); thumbnail images from University of Washington VIC group, NOAA Colorado Basin River Forecast Center, and Reclamation)]]
 
 
<[[File:Basin_science_map.png|frame|400px|'''Figure 1.''' Representation of different science applications in the Colorado River Basin. (Basemap source: Western Water Assessment)]]>
 
 
ColoradoRiverScience.Org is being created to provide a clearinghouse about science and data about the Colorado River.
 
It is intended for use by Decision Makers, Scientists, Students, the Press, and the Public.
 
To obtain a login to allow editing, please contact the site administrator below.
 
Edits are subject to review and will not be made public until approved.
 
This site is under construction as of 1/21/2020. Currently, a skeleton is in place to allow prototyping and initial design.
 
You might find this page to be of use as we build the site. It is a live ongoing compilation of relevant publications.


Contact Brad Udall Bradley.udall @ colostate.edu for information.
Contact Brad Udall Bradley.udall @ colostate.edu for information.


<!-- Need general description of the effort here -->
 
Page purpose: Here we show recent scientific, news and policy articles. An archive of older articles will also be accessible as older articles are displaced by newer articles over time.
 


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=== Recent Scientific Papers ===
=== Recent Scientific Papers ===
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==== [https://ametsoc.net/eee/2018/3_Williams0187.pdf Quantifying Human-Induced Temperature Impacts On The 2018 United States Four Corners Hydrologic And Agro-Pastoral Drought ] ====
Emily Williams <br>
Chris Funk <br>
Shraddhanand Shukla<br>
Daniel McEvoy<br>
January 23, 2020
Bulletin of the American Meteorological Society
===== Summary =====
Human-induced (HI) warming increased Four Corners’ vapor pressure deficits and reduced the Normalized Difference Vegetation Index by ~18%–30%. Without HI warming, March snow water equivalent would have been ~20% higher.


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==== A Long View of Southern California Water Supply: Perfect Droughts Revisited ====
==== [https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12822?campaign=wolearlyview A Long View of Southern California Water Supply: Perfect Droughts Revisited ]====
[[https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12822?campaign=wolearlyview]]
[[https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12822?campaign=wolearlyview]]


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==== Bias correction of paleoclimatic reconstructions: A new look at 1200+ years of Upper Colorado River flow ====  
==== [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL086689 Bias correction of paleoclimatic reconstructions: A new look at 1200+ years of Upper Colorado River flow] ====  
[[https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL086689]]
 


Scott M. Robeson,  
Scott M. Robeson,  
Justin T. Maxwell,  
Justin T. Maxwell,  
Darren L. Ficklin <br>
Darren L. Ficklin <br>
January 3, 2020 <br>
Geophysical Research Letters
Geophysical Research Letters
===== Key points =====
===== Key points =====
Line 37: Line 101:
To study past climates, scientists use indicators such as tree‐ring widths that are related to temperature, precipitation, or streamflow. While these indicators usually are very reliable, they sometimes do not perform as well with extreme events such as intense droughts and wet periods. Here, we adopt a method that can correct for these limitations and apply it to a 1,200+year record of streamflow for the Upper Colorado River, a critical source of water for much of the southwestern United States. After using our method, we find that several extreme events from the tree‐ring record of streamflow were even more intense than formerly thought. In particular, the largest drought in the record that occurred during the 1100s was drier and longer lasting after our correction. During the 56‐year duration of the 1100s drought, our correction makes the flow in the river lower by nearly 52 × 109 m3 of water, which is the equivalent of 1.45 times the capacity of Lake Mead (the largest reservoir in the United States). And, while it was known that the early 1900s was among the wettest periods in the last 1,200+ years, we identify a period in the early 1600s that matches it.
To study past climates, scientists use indicators such as tree‐ring widths that are related to temperature, precipitation, or streamflow. While these indicators usually are very reliable, they sometimes do not perform as well with extreme events such as intense droughts and wet periods. Here, we adopt a method that can correct for these limitations and apply it to a 1,200+year record of streamflow for the Upper Colorado River, a critical source of water for much of the southwestern United States. After using our method, we find that several extreme events from the tree‐ring record of streamflow were even more intense than formerly thought. In particular, the largest drought in the record that occurred during the 1100s was drier and longer lasting after our correction. During the 56‐year duration of the 1100s drought, our correction makes the flow in the river lower by nearly 52 × 109 m3 of water, which is the equivalent of 1.45 times the capacity of Lake Mead (the largest reservoir in the United States). And, while it was known that the early 1900s was among the wettest periods in the last 1,200+ years, we identify a period in the early 1600s that matches it.


=== Recent News Articles ===
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====[https://phys.org/news/2020-01-climate-hazard-scientists-corners-drought.html Climate hazard scientists connect 2018's Four Corners drought directly to human-caused climate change]====
January 23, 2020
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[https://coloradosun.com/2020/01/22/climate-change-water-west-computer-model/ We know the earth is warming. We know that will stress water in the West. But we don’t know how.]
January 22, 2020<br>
Mark Jaffe <br>
Colorado Sun
===== Short Summary =====
Two critical, big-picture questions loom: How much snow will fall in the mountains and how much water will there be for the region’s forests, farms and cities.
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====[https://blog.google/products/search/discovering-millions-datasets-web/ Discovering millions of datasets on the web]====
Natasha Noy
Research Scientist, Google Research
Published Jan 23, 2020
===== From the First Paragraph =====
Across the web, there are millions of datasets about nearly any subject that interests you. If you’re looking to buy a puppy, you could find datasets compiling complaints of puppy buyers or studies on puppy cognition. Or if you like skiing, you could find data on revenue of ski resorts or injury rates and participation numbers. Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets and find links to where the data is. Over the past year, people have tried it out and provided feedback, and now Dataset Search is officially out of beta.
===== Website =====
[https://datasetsearch.research.google.com Google Dataset Search]
=== Recent Policy Articles ===
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====  Strategies for Managing the Colorado River in an Uncertain Future ====
[https://qcnr.usu.edu/coloradoriver/files/CCRS_White_Paper_3.pdf Complete White Paper]
[https://qcnr.usu.edu/coloradoriver/files/FS_whitepaper3.pdf Two Page Brief]
Jian Wang, David E. Rosenberg, Kevin G. Wheeler, John C. Schmidt
February 12, 2020
'''Understanding What We Don't Know'''
Colorado River stakeholders face many uncertainties—issues like climate change, future water demand, and evolving ecological priorities—and are looking for new tools to help cope. Managers and stakeholders need ways to help classify uncertain conditions, manage for them, and create models in the face of a slew of oncoming unknowns.
To help Colorado River stakeholders think about, talk about, and better manage the future river, the Center for Colorado River Studies offers a new white paper that distinguishes four levels of decision-making uncertainty. We illustrate each level of uncertainty with examples and show that there is greater uncertainty associated with planning for long time horizons, such as in developing policies that anticipate the increasing possibility of drought, extreme climate events, and unknown patterns of future human use of water. We argue that better public policies will emerge if stakeholders recognize the different levels of uncertainty for future events.
Using defined levels of uncertainty can guide stakeholders to appropriate management and modeling tools and lead to more precise and effective conversation and negotiation.
'''From the paper: Suggested Practices for an Uncertain Future'''
#Classify uncertainties by level.
#Include and track more information as it becomes available.
#Define more signposts to signal when future water supply and river ecosystem outcomes deteriorate and trigger an alternative policy.
#Identify more alternative policies for when circumstances trigger a signpost.
#Construct potential pathways that connect signposts and alternative policies over time.
#Match the planning horizon to the uncertainty level.
#Retain more reservoir storage at the end of the model planning horizon to save water for future managers and generations to use.
#Seek better policies that improve water supply and river ecosystem outcomes across more future scenarios, rather than best policies.
#Allow users more flexibility to respond to changing conditions.
#Visualize adaptive policies to show system adaptations over time, identify gaps in policies, and adapt policies to include more information and signposts.


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=== Recent News Articles ===
 
==== The Risk of Curtailment under the Colorado River Compact ====
[[https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3483654&download=yes]]
 
 
Anne Castle <br>
John Fleck
 
[[https://qcnr.usu.edu/coloradoriver/news/castle_research Summary via Utah State University]]


=== Other ===
=== Other ===
END COMMENT--!>

Latest revision as of 11:26, 9 July 2026

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Figure 1. Representation of the different models and data, and their underlying science, applied to decision-making in the Colorado River Basin. (Design: J. Lukas, adapted from L. Payton; basin map by Western Water Assessment (L. Woelders); thumbnail images from University of Washington VIC group, NOAA Colorado Basin River Forecast Center, and Reclamation)
Figure 2. The "4-panel plot" showing trends in Colorado River Basin reservoir storage, natural streamflow, precipitation, and temperature, through Water Year 2025. Click on the figure for a larger version. (Figure: Brad Udall; Data: Reclamation - reservoir storage and streamflow; NOAA NCEI - precipitation and temperature)



The Colorado River Science Wiki is a web-based clearinghouse for scientific and technical information relevant to the Colorado River Basin and the management of its water resources and related natural resources. This clearinghouse is intended to be useful to managers and other decision-makers, to researchers, to the media, and to the broader public.

We welcome your feedback; please use this form to send us suggestions, or reach us at the contact information below.




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