Science Current Events | Science News | Brightsurf.com
 
corner top left block corner top right

Report seeks to integrate microbes into climate models

February 15, 2012

The models used to understand how Earth's climate works include thousands of different variables from many scientific including atmospherics, oceanography, seismology, geology, physics and chemistry, but few take into consideration the vast effect that microbes have on climate. Now, a new report from the American Academy of Microbiology, "Incorporating Microbial Processes into Climate Models", offers a plan for integrating the latest understanding of the science of microbiology into climate models.

"Climate scientists and microbiologists usually work in isolation from each other, and yet their work is intimately connected. Microbes are critical players in every geochemical cycle relevant to climate. The sum total of microbial activity is enormous, but the net effect of microbes on climate-relevant gases is currently not known," says Edward DeLong of the Massachusetts Institute of Technology, who co-chaired the report with Caroline Harwood of the University of Washington.

The past two decades have witnessed an explosion in scientific recognition of the diversity of the microbial world. New DNA-sequencing technologies spurred by the Human Genome Project have made it technically and economically possible to sequence the collective DNA from whole microbial communities. This approach, called metagenomics, has revealed a previously undreamed-of degree of diversity in the microbial world. These microbial community analyses many "'omics" approaches, such as proteomics and metabolomics, that together provide a detailed picture of community function, potential and change over time.

The report is based on a colloquium convened by the Academy in 2011. Experts in diverse disciplines in microbiology as well as computational and climate modeling participated in the meeting designed to identify specific efforts and activities that will lead to improved integration of microbial biology, biogeochemistry, and climate modeling.

"While the gap between these disciplines is daunting, the need to bridge it is urgent and the science and technology needed to begin to do so is within reach," says Harwood.

The report suggests a multipronged approach, breaking the challenge into manageable parts. The first recommendation is to choose a few specific biogeochemical cycles that are important, microbially driven and tractable to serve as demonstration projects. Specifically, the report identifies methane, carbon storage and nitrous oxide.

Other recommendations include:

- Assess current data collection methodologies and develop a monitoring/data collection strategy

- Implement validation processes to integrate data collection, modeling and experimentation

- Facilitate and provide incentives for collaborations and interdisciplinary training

- Address technology needs

"There is clear evidence that microbes can have an enormous impact on climate.. In light of the increasingly urgent need to understand and find ways to mitigate climate change, the centrality of microbes in global biogeochemical cycles, can no longer be ignored," says DeLong.



American Society for Microbiology




A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming

A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming
by Paul N. Edwards (Author)


Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models, there are no data. Today, no collection of signals or observations--even from satellites, which can "see" the whole planet with a single instrument--becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to...

Fundamentals of Ocean Climate Models

Fundamentals of Ocean Climate Models
by Stephen Griffies (Author)


This book sets forth the physical, mathematical, and numerical foundations of computer models used to understand and predict the global ocean climate system. Aimed at students and researchers of ocean and climate science who seek to understand the physical content of ocean model equations and numerical methods for their solution, it is largely general in formulation and employs modern mathematical techniques. It also highlights certain areas of cutting-edge research. Stephen Griffies presents material that spans a broad spectrum of issues critical for modern ocean climate models. Topics are organized into parts consisting of related chapters, with each part largely self-contained. Early chapters focus on the basic equations arising from classical mechanics and thermodynamics used to...

Climate change influence on POPs distribution and fate: A case study [An article from: Chemosphere]

Climate change influence on POPs distribution and fate: A case study [An article from: Chemosphere]
by M. Dalla Valle (Author), E. Codato (Author), A. Marcomini (Author)


This digital document is a journal article from Chemosphere, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Climate change has the potential of affecting the behaviour and distribution of organic pollutants, including POPs. Direct effects of climate change, like temperature increase, modification of wind and precipitation patterns, sea level rise, snow and ice cover, may be very effective in altering the partitioning of POPs among the environmental compartments. Other consequences of future climate scenarios may imply the alteration of degradation rates, soil properties (and hence land use), air-particle partitioning of...

Understanding Climate Models - A Guide for Non-Scientists

Understanding Climate Models - A Guide for Non-Scientists
by Sheridan Johnston (Author), Sheridan Johnston (Photographer)


A six-page booklet that discusses-- in broad terms -- what numerical models of climate are, what it is they attempt to model, generally how they work, current limitations to their predictive capabilities, and the societal impact of their predictions at a time of great worldwide interest in changes to Earth's ecosystem. It is written for the scientifically curious layperson and is intended to fill the gap between a media-type article and a scientific journal article. The subject material and lexicon may be unfamiliar to some at first read, but they are intended to spark curiosity and to stimulate continued reading, learning, and understanding to spur informed participation in an important contemporary dialogue about science. First Edition: November 30, 2010

Climates before and after the Genesis flood: Numerical models and their implications

Climates before and after the Genesis flood: Numerical models and their implications
by Larry Vardiman (Author)


Paperback: 110 pages Publisher: Institute for Creation Research (2001) Language: English ISBN-10: 0932766633 ISBN-13: 978-0932766632

System Zoo 2 Simulation Models. Climate, Ecosystems, Resources

System Zoo 2 Simulation Models. Climate, Ecosystems, Resources
by Hartmut Bossel (Author)


Mathematical modeling and computer simulation make it possible to understand and control the dynamic processes taking place in complex systems. Simulation provides insights into the often surprising diversity of possible behaviors, and allows identifying possibilities for intervention and options for alternative development. About one hundred simulation models from all areas of life are fully documented in the three volumes of the 'System Zoo'. They can be quickly implemented and easily operated using freely available system dynamics software. Volume 2 of the System Zoo contains simulation models of the regional water cycle and global carbon cycle, the photosynthesis of vegetation, forest growth, the water, nutrient, and energy dynamics of agriculture, the interaction of plants,...

Stochastic Climate Theory: Models and Applications

Stochastic Climate Theory: Models and Applications
by Serguei G. Dobrovolski (Author)


The author describes the stochastic (probabilistic) approach to the study of changes in the climate system. Climatic data and theoretical considerations suggest that a large part of climatic variation/variability has a random nature and can be analyzed using the theory of stochastic processes. This work summarizes the results of processing existing records of climatic parameters as well as appropriate theories: from the theory of random processes (based on the results of Kolmogorov and Yaglom) and Hasselmann's "stochastic climate model theory" to recently obtained results.

The Climate in Historical Times: Towards a Synthesis of Holocene Proxy Data and Climate Models (GKSS School of Environmental Research)

The Climate in Historical Times: Towards a Synthesis of Holocene Proxy Data and Climate Models (GKSS School of Environmental Research)
by Hubertus Fischer (Editor), Thomas Kumke (Editor), Gerrit Lohmann (Editor), Heinrich Miller (Editor), Jorg Negendank (Editor)


This book reports on efforts by geoscientists and climate modellers (KIHZ) to assess natural climate variability during the Holocene. Part 1 is an overview of the climate system and its dynamics. Part 2 describes the efforts of the KIHZ members to reconstruct past climate by using proxy data derived from ice cores, lake sediments, tree rings and corals, statistical analyses and climate models.

  Global Weirdness: Severe Storms, Deadly Heat Waves, Relentless Drought, Rising Seas and the Weather of the Future
by Inc. Climate Central (Author)


Finally, in clear, accessible prose, a fascinating new book that explains climate change—its implications for the future and what we can and cannot do to avoid further change—to the layperson.

Produced by Climate Central, Inc.—a highly regarded independent, non-profit journalism and research organization founded in 2008—and reviewed by scientists at major educational and research institutions the world over, Global Weirdness summarizes everything we already know about the science of climate change, explains what is likely to happen to the climate in the future, and lays out, in practical terms, what we can and cannot do to avoid further shifts.

Fifty easy-to-read entries tackle questions such as: Is climate ever "normal?" Why and how do fossil-fuel burning and other...

Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Water Science and Technology Library)

Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Water Science and Technology Library)
by Soroosh Sorooshian (Editor), Kuo-lin Hsu (Editor), Erika Coppola (Editor), Barbara Tomassetti (Editor), Marco Verdecchia (Editor), Guido Visconti (Editor)


This collected work reports on the state of the art of hydrological model simulation, as well as the methods for satellite-based rainfall estimation. Mainly addressed to scientists and researchers, the contributions have the structure of a standard paper appearing in most cited hydrological, atmospheric and climate journals. Several already-known hydrological models and a few novel ones are presented, as well as the satellite-based precipitation techniques. As the field of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs are addressed. The many contributing authors, who are well established in this field, provide readers with...

corner bottom left corner bottom right
© 2012 BrightSurf.com