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ground- water, engineering, science, geo- statistics

Archive for 2009

AGU Fall Meeting

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December 13, 2010toDecember 17, 2010

http://www.agu.org/meetings/

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December 31st, 2009 at 1:58 pm

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Identi.ca Updates for 2009-12-31

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December 31st, 2009 at 8:00 am

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Identi.ca Updates for 2009-12-30

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December 30th, 2009 at 8:00 am

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Identi.ca Updates for 2009-12-29

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December 29th, 2009 at 8:00 am

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Identi.ca Updates for 2009-12-19

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December 19th, 2009 at 9:00 am

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AGU Day 4

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On thursday morning I sat into the “communicating climate change” session, which is not directly related with my work, but is timely, and relevant. It turned out that I saw some of the best talks of the conference so far in this session. As before I will post here some of my notes, again no guarantee for completeness.

M. Mann’s talk

  • The scientific basis for climate change has been around for longer than many think, mostly since the early 19th century:
  • Jim Hansen has been one of the first people to try and validate a climate model – and he didn’t do poorly
  • there is a thing called the “Luntz Memo“. It is a memo written by a politician called Luntz who outlines in this memo how to argue against climate change in the public. Similarly, there are other politicians who are against climate change, including Senator James Inhofe and Sara Palin. This is nothing new, but was interesting in this clearness. Palin recently established a thing called “Climate Gate” in which she called for president Obama to boycott Copenhagen. Not to confused with Watergate.

R. Alley’s talk

  • to be a scientist is one of the greatest jobs available: you discover things that nobody knew before, you share, and you help. On the other hand, scientist argue like crazy every time. Which might be necessary to “keep shaking the info until it’s solid”. To non-scientists, this usually looks like scientists do nothing else other than arguing. And that’s not good!
  • The National Research Council was established to “investigate, examine, experiment, and report upon any subject of science or art”. Later came similar institutions for health and engineering. Now, after the initial IPCC report, the US government asked the NRC, if the IPCC predictions might be ok. The NRC responded that yes, the IPCC predictions look good.
  • Then he got into sea-level rise, the main topic of his talk
    • in 2001, sea level rise was predicted, excluding dynamics. In 2007, “scientists went like ‘Oh crap’” — sea-level rose faster than they expected. — “There’s the big gorilla out there that we don’t understand”
    • “it’s not hard to get 1m sea-level rise by 2100″
    • the underlying science: “all piles tend to spread, if you crank up the heat things melt, and if it snows it might accumulate”
    • Sara Das does cool research in Greenland
    • The Larsen B ice-shelf was one flying buttress for the ice of Greenland. Without a flying buttress, some ice might move up to 8x faster than with one. The less flying buttresses there are around Greenland, the “faster the whole thing goes”
    • melting goes up faster than increased snow fall
Ponds on the ice-surface of Greendland. Photo by [Sara Das][17]

Ponds on the ice-surface of Greendland. Photo by Sara Das

Interesting Papers

  • Regional Meteorological–Marine Reanalyses and Climate Change Projections by Weisse et al., 2009 in BAMS
  • Geochemistry and the understanding of ground-water systems by Glynn and Plummer, Hydrogeology Journal 2005
  • What indicators can capture runoff-relevant connectivity properties of the micro-topography at the plot scale? by Antoine et al., 2009 in AWR
  • Zhu and Lin, 2009: preferential flow paths via EM in HESS
  • Hydrodynamic Dispersion by Rose in Soil Science
  • The original Pfannkuch, 1963 paper seems to be in french, not available online, but cited by many
  • Berkovitz and Scher, 1995 in Water Resources Research

Written by Claus

December 18th, 2009 at 10:18 pm

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Identi.ca Updates for 2009-12-18

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Written by Claus

December 18th, 2009 at 9:00 am

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AGU, Day 2 & 3

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There are so many things going on over here, it’s hard to keep up. Additionally, the first time in my life, my body has issues adjusting to a new time zone. I don’t understand… :-)

Langbein Lecture

This lecture, presented by John Schaake, was one of the better lectures I’ve attended in a while. He was humorous, had great examples illustrating the points he made, and was well organized. John Schaake was employed by the Hydrologic Department of NOAA. It’s hard to summarize his talk, but here are a few points:

  • understanding of basic math and how to apply it was the key thing he learned in his education
  • he emphasized that you have to use both for understanding of natural phenomena: statistics and physics
  • he mentioned a typical problem of downscaling a couple of times: he said you could use a big IPCC cell for precipitation from Ethiopia, downscale, and it’d work in California. It’d work, despite the fact that most of the precipitation in Ethiopia occurs in summer, and most precipitation occurs in California in winter.
  • if you have to or want to make adjustments to non-linear errors, it’s hard to say how to do this (I would probably have to draw a little sketch here, but that’ll have to wait)
  • John Schaake is instrumental in the HEPEX initiative
  • He said something about community based planning, I wrote down CHPS, and all google finds seems to be related to “community based health planning”. I’m not sure where this is going
  • He used an empirical copula, and I knew what he was talking about. :-)
  • I learned what a “Continuous Rank Probability Score” (CRPSS) is;
  • it’s always good to be reminded of the total probability law
  • he asked this interesting question: “Can we produce ensemble analyses that represent spatial and temporal scale-dependent analysis uncertainty?”
  • he thinks that several of the best imperfect models may be better than any one
  • this might be an interesting document to read: the strategic science plan of NOAA’s hydrologic department

Talk by Yoram Rubin

Yoram Rubin gave an excellent overview of the development of stochastic hydrogeology. He divided this development into four phases:

  1. Field scale experiments and related analysis (Borden, Cape Cod, MADE); The learning-effect was that solute transport is controlled by spatial variability (of K);
  2. Establishment of a physical basis for geostatistics with major contributions from Fogg, Ritz, Weissman;
  3. Adoption of probabilistic concepts by “bottom line” oriented organizations;
  4. New methods of data acquisition, which he refers to as “Hydrogeophysics”, which is also the title of one of his books;

things I picked up

  • I haven’t heard of the Anscombe’s quartet before, but sure I will use it at least for teaching purposes!
  • somebody said a macroscope is a tool to see the infinitely complex;
  • the CUAHSI site looks interesting;

papers maybe worth to read

Written by Claus

December 17th, 2009 at 7:27 pm

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Identi.ca Updates for 2009-12-17

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Written by Claus

December 17th, 2009 at 9:00 am

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Identi.ca Updates for 2009-12-16

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Written by Claus

December 16th, 2009 at 9:00 am

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