Sunday, 30 April 2017

Red Cheeks Team



The idea has been simmering a few years, but now that their president is in office, the mitigation sceptical movement is increasingly pushing the idea of a "Red Team". In the last "hearing" of Lamar Smith in US House of Representatives, John Christy and Judith Curry repeated the claim that climate science needs a "Red Team". Roger Pielke Sr. contributes some tweets. In Murdoch's Wall Street Journal also Steven Koonin made this call on the opinion pages (pay-walled). This is the part of the newspaper the journalists of the news section are embarrassed by.

The [[Red Team]] should aim to destroy the results of climate science. This idea comes from the military and corporations. Monolithic strongly hierarchical organisations where dissent is normally not appreciated and there is thus a need to break this culture by explicitly ordering a group to show that plans may not work out. Many mitigation sceptics work in such organisations and this seems to guide their erroneous thinking of how science works.

Red Teams galore

Science is organised in thousands of Red Teams already. Every national weather service is independent. Some countries even have multiple ones. That makes about 200 Red Teams. I do not know of any weather service that does not find it is warming.

If you are a conspiracy theorist, thinking they are making up the warming, these 200 Red Teams would have to coordinate intensively to make sure that the weather variability is smoothly correlated from one country to its neighbours, that the climate modes (El Nino, North Atlantic Oscillation, etc.) look similar in a region, including [[teleconnections]] to other continents, including modes and teleconnections not known at the time, and make sure that the spatial pattern of the long-term warming fits to the physics and all the other observed variables.

Proof of how devious climatologists are is that no communications were intercepted showing this biggest coordination project in human history. Scientists may be too stupid to fool WUWT, but they are at least smarter than the NSA and HCSQ.



In Germany alone there are easily over a hundred university groups and research institutes (partially) working on climate and climate change. There are close collaborations with related fields, from statistics and physics to geography and economics. Also counting these there could be hundreds of Red Teams in a medium-sized country like Germany already.

Scientific progress

Every single of these groups would love to be the one to show there is a problem that needs attention. That is why scientists become scientist. No one has ever gotten funding saying: my field has solved all problems, but I would like to keep on doing what I have always done.



Many of these groups only partially work on climate change. Meteorology is a much larger field than climatology; Meteorology is directly needed to save lives and avoid economic damages, while climatology "only" produces politically inconvenient results about the future.

Thus for many of these groups it would be no problem whatsoever if they showed evidence for the most extreme case that the world is not warming or humans are not responsible. On the contrary, that would be an enormous boost to their reputations and they can use that social capital to work on related problems.

Explicit Red Teams are for organisation working like planning economies. Science is a free market system.

Climate “sceptics” sometimes give the impression that they think that a single study will vindicate their political battle and settle it once and for all. Reality is that there are many different lines of evidence that it should be warming, that it is warming (see graph below), and that we are creating the increase in atmospheric CO2 (see also additional arguments by Richard Alley) and the warming.

A challenge to one of these lines of evidence will have to refute a lot of evidence and this will normally take years. It would not be enough to disproof one line of evidence, but all of them should fall. Not only the instrumental temperature record would need to be wrong, but the melting of glaciers, the sea level rise, the start of spring, the decrease in Arctic sea ice and so on.

If I had the winning idea that something is fundamentally flawed, it would take decades of research until we again have a consensus on how the climate is (not) changing, just like our current understanding of climate change took decades to centuries to develop.



Science or PR?

John Christy:
One way to aid congress in understanding more of the climate issue than what is produced by biased “official” panels of the climate establishment is to organize and fund credible “Red Teams” that look at issues such as natural variability, the failure of climate models and the huge benefits to society from affordable energy, carbon-based and otherwise. I would expect such a team would offer to congress some very different conclusions regarding the human impacts on climate.
The benefits from affordable energy do not change the human impacts on climate. That kind of sloppy thinking hints at the Red Team being intended as a PR shop.

As an aside, the benefits of energy are naturally large and the energy sector used to be substantial, but it is nowadays just a few percent of the economy. Even if another energy source would be a lot more expensive that would nowadays hardly change the economy.

The idea that climatology does not study natural variability is ludicrous. I used to think I was not a climatologist because I had never computed an empirical orthogonal function ([[EOF]]) to study the North Atlantic Oscillation. The biggest group in the World Climate Research Program is CliVar, studying, hold it: Climate variability. What the mitigation sceptical movement knows about natural variability, from El Nino to the QBO, they know from the scientific community.

The "failure of climate models" presupposes models failed. If we assume they failed and cannot be used to assess the quagmire we are in, the uncertainties would be even larger. We would still have a lot of physics and observations of the (deep) past to make clear that climate change is real. Uncertainties can go both ways and mean higher risks. This should thus be a topic the Red Team should avoid.

The suggestion to only study the "failure of climate models" is a strange way of doing science. Normal science would be to study what the main discrepancies between models and observations are, try to understand what the causes are and then try to fix this. Sounds like Christy is more interested in the first step than in understanding and fixing.

This fits to his approach to his UAH tropospheric temperature dataset. Already in the 1990s when the UAH dataset still showed cooling and contained major errors (did not take the change of the orbit of the satellites into account, had a minus wrong in the software, etc.) he blamed models for the differences without first trying to understand the reasons.


Chinese calligraphy with water on a stone floor. Do not dig in, but let your position flow with the evidence.
The main reason for the discrepancy is that there is an amplification of temperature changes in the tropical upper troposphere. The stronger long-term warming this causes in models is called the "tropical hotspot". Christy's UAH temperature trends do not show it. It is seen in the stronger response to El Nino in the tropospheric temperatures, both in models and in observations. The hotspot is observed in the radiosonde winds and in a recent carefully homogenized radiosonde temperature dataset.

Christy seems to be happy with claiming that the models failed. I would not ignore the possibility that there are remaining errors in the UAH estimates, especially after all the errors that have already been found. Had I been Christy I would have tried to make my claim that the models are the problem stronger by trying to understand the reasons. Which processes are wrong in the models that produce this hotspot, but should not? That would then need to be something that does produce the hotspot signs in the winds and also shows the amplification for El Nino on shorter time scales. That sounds hard to me, but Christy had a few decades to study it.

A similar audit Red Team gave us the Berkeley Earth initiative, funded by the Heartland Institute funded by the Koch Brothers. Judith Curry was part of that, but got out before the politically inconvenient result was published. Anthony Watts, the host of the mitigation sceptical blog WUWT, claimed he would accept the results no matter what. That vow lasted until Berkeley Earth found the same result as any other global temperature dataset. Call me sceptical that this Red Team hullabaloo will have any impact on the US climate "debate".



I am sure it is a coincidence that the terms Red Team and Blue Team fit to the political configuration of country were the climate "debate" takes place, the United States of America. A country were the elite stays in power by pitting the Red Team and the Blue Team against each other. The main reason to support the Red Team is to at least not be the Blue Team. In Georgia the Republicans courted voters with the slogan: Make a liberal cry. Just the thing the coal and oil oligarchs would love to promote in the US climate "debate". Just the thing science should not want to replicate.



Scientists are humans, one of the main biases a scientists needs to fight against is not dig in and defend your own old studies, claims, methods or datasets. I respect scientists that developed good homogenisation methods and talk about their downsides and the strengths of other methods. I respect that because it is hard and promotes scientific progress. To force a scientist to take the Red or Blue position strengthens defensiveness and thus hurts progress. It is political thinking. In science the evidence determines your position. It is the end, not the start.

At least John Christy seems to mostly think of doing research, Judith Curry and Steven Koonin want to make jet another audit or report. This would an alternative IPCC report, following the example of the NIPCC report, the Nonsense IPCC, an embarrassing regurgitation of zombie WUWT myths authored by tobacco stooge Fred Singer. The NIPCC report is clearly PR. If the Red Team advocates think they have a scientific case, one would expect them to seek funding for science that would convince scientists, rather than bypassing the scientific literature and going straight to the public.

Red and Blue Team framing not only contributes to the politicization of science, it also promotes the false-balance media narrative of two equal groups. Judith Curry, John Christy and Steven Koonin should be debating Peter Wadhams, Guy McPherson and Reddit Collapse.

An important political strategy of the mitigation sceptical movement is to pretend that the science is not in yet. That is why they keep on claiming there is no scientific consensus, provoking consensus studies that find that nearly all scientists and articles agree on the basics. (And then complain that consensus exists.)

Once people understand that scientists agree there is a problem, they want solutions. Some extremists in the mitigation sceptical movement may claim that solar and wind energy spell the end of civilization, but that is a hard sell. Sun and wind have enormous and bipartisan support in the USA.



The 97% of climate scientists who agree on the basics include many conservative scientists. That there is a problem is not a partisan issue. How to solve it, that is politics. The Paris climate agreement was signed by nearly 200 countries and thus many conservative governments. They accept that climate change is a real problem. European conservative parties may be less active, but do not deny there is a problem.

In Europe only Trumpian racist parties deny there is a problem. That the climate "debate" is mostly an American problem shows that the problem is not conservative versus liberal, that it is not a lack of scientific evidence, it is not a problem of the communication of science. The problem is the corrupting influence of money in US politics and media. A Red Team will not solve this.


There is PLENTY of ROOM within the climate science to hold extreme views, both about the science and policy. However, there is no room for the lunacies of unicorns, for sun nuts, for folks who don't get chaos, for radiative physics deniers
Steve Mosher


Details please

ATTP asks very good questions on how this exercise should be organised. "Who would make up the team/teams?" Who are the organisers, the arbiters? Who selects them? What are the criteria? How do they want to prevent normal scientists from joining the Red Team? Scientists normally determine themselves what they work on. Should they be forced to waste their time on this? "How would this work be funded?" Is special funding needed because Red Team ideas do not have sufficient merit to be funded normally? "How would the programme be assessed?"

With all those Red Teams in science, I am curious how the Red Team advocates want to make sure their Red Team will be on their political side and stay there. Writing explicitly into the funding conditions that the applicant has to have a history of deceiving the public in the media and producing bullshit blog posts would probably be too much honesty.

Who would be in the Red Teams? Will they fund conspiracy theorists like Tim Ball and Christopher Monckton and corporate smoking shills like Fred Singer and Steven Milloy? That honesty would be a great sight.

Funding

The tension is clear when John Christy writes:
Decisions regarding funding for “Red Teams” should not be placed in the hands of the current “establishment” but in panels populated by credentialed scientists who have experience in examining these issues.
The people with experience and credentials are the "establishment" in science.

The mitigation sceptical movement could maybe organise a Red Team Blue Team exercise themselves and in that way figure out what their position is beyond the only thing they agree on: that climate science is wrong. That way they can demonstrate how enormously valuable this new scientific method is and it would have the added benefit that they waste their own time. I am curious whether they can come to an agreement about whether the Earth is warming or cooling and whether the greenhouse exists and CO2 can produce warming.

I look forward to a detailed proposal for Red Team research and would expect that it will demonstrate how ludicrous the idea is.



There is no real need for government funding of Red Teams whatsoever. Every large oil and coal corporation has a huge incentive to show climate science wrong. If they thought that there was a chance of one in a million that climate science was wrong, they would pour millions into studying that rather than in PR misinformation campaigns by networks of thoughtless tanks.

If John Christy was making the case that science funding should not only be based on scientific merit, but that part of the funding should also be based on what is politically important he may have a case. Already a considerable part of the funding goes to studies that inform (local) governments and companies on how to adapt to climate change. This is mostly a service to society and scientifically less inspiring. If it weren’t so hard to do, this would be a task for engineering firms.

Similarly, it would be politically important to study the tropospheric temperature trend in more detail for its importance in the American climate “debate”. It has nearly no scientific value because the tropospheric temperature series is so short and buggy. Each update there are huge changes in the trend estimates and the two available series show large differences, although they both try to take into account the currently known problems of the raw data. There is also no societal need for this dataset; no one lives in the tropical troposphere. Consequently only a few people at the University of Alabama in Huntsville and at Remote Sensing system work on these datasets once in a while. Occasionally there is some help in finding the problems with this data from external scientists.

More independent research in this field, leading to the development of new high quality tropospheric temperature datasets would be politically valuable. Maybe that should also be a funding consideration.

Related reading

How a scheme to discredit climate science spread from conservative media to the EPA chief. Scott Pruitt has embraced the “red team/blue team” idea that got exposure from Daily Caller and WSJ.

And Then There's Physics: Red Team vs Blue Team

Stoat on Red teams: The East is Red

Benjamin Santer, Kerry Emanuel and Naomi Oreskes in the Washington Post: Attention Scott Pruitt: Red teams and blue teams are no way to conduct climate science

The killer Rabbet: The Squeegee Kid Returns or Steve Koonin on Team B

The Blue Team at Daily Kos: Deniers Calling for a Red Team to Create Debate on Climate Science

Why doesn't Big Oil fund alternative climate research?


* Top photo with birds, shame by Tiago Almeida used with a Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0) license.

* Black and white photo of boy, shame, by Lee Carson used with a Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0) license.

* Photo of "Taoist monk" by Antoine Taveneaux - Own work. Licensed under CC BY-SA 3.0 via Wikimedia Commons.

* Photo of ashamed woman by Naika Lieva used with a Creative Commons Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0) license.

Monday, 24 April 2017

"Hiatus": Signal and Variability

Stefan Rahmstorf, Grant Foster and Niamh Cahill just summarized the statistical evidence for the mirage people call the "pause" of global warming in their new article: "Global temperature evolution: recent trends and some pitfalls."

The Open Access paper is clearly written; any natural scientist should be able to follow the arguments. The most important part may be a clear explanation of the statistical fallacies that lead some people to falsely claim there was such a thing as a "hiatus" or "slowdown".




Suppose that Einstein had stood up and said: I have worked very hard and I have discovered that Newton got everything right and I have nothing to add. Would anyone ever know who Einstein was? ... The idea that we would not want to be Einstein, if we could overturn global warming ... how exiting would that be? Of the tenth of thousands of scientists there is not one who has the ego to do that? It's absurd, it is absolutely unequivocally absurd! We are people.


I have studied the "hiatus" problem hard (1, 2, 3, 4), read this new paper and I have nothing to add. Unfortunately.





Well, okay, maybe one thing. Just because a trend change is not statistically significant, does not mean you cannot study why it changed. It only means that you are likely looking at noise and thus likely will not find a reason. But if you think there may be a great reward in the result that can make high-risk research worthwhile. Looking at how small the trend differences are and knowing how uncertain short-term trends are, I am not going to do it, but anyone else is welcome.





That there was no decline in the long-term trends also does not mean that it is not interesting to study the noise around this trend. The biggest group in the World Climate Research Program studies Climate variability. That by itself shows how important it is.

This blog is called Variable Variability. I love variability. It is an intrinsic property of complex systems and its behaviour over temporal and spatial averaging scales can tell us a lot about the climate system. It also has large impacts. Droughts and floods fuelled by El Nino are just one example. It is a pity most people just want to average this away.


One man's noise may be another man's music


Now that we take the climate system into unknown territories predictions of the seasonal, annual and decadal variability have become even more important to plan ahead and protect communities. Historian Sam White suggests that the problem of the little ice age in Europe was not the cold winters, but the unpredictability of the weather. Better predictions will help a lot in coping with climate change and already produce useful results for the tropics.

Variability lovers of the world, let's stand up for the importance of our work and not try to faithlessly justify it with middle of the road research on overstudied averages.




Related reading

Science Media Centre asked three scientists for a reaction to the study: expert reaction to climate hiatus statistics

Cranberry picking short-term temperature trends

Statistically significant trends - Short-term temperature trend are more uncertain than you probably think

How can the pause be both ‘false’ and caused by something?

Atmospheric warming hiatus: The peculiar debate about the 2% of the 2%

Reference

Rahmstorf, Stefan, Grant Foster and Niamh Cahill, 2017: Global temperature evolution: recent trends and some pitfalls. Environmental Research Letters, 12, No. 5, https://doi.org/10.1088/1748-9326/aa6825.

Monday, 10 April 2017

Upcoming meetings for homogenisation scientists

There are several new meetings coming up that may be interesting for people working on homogenisation. If you know of more, please write a comment. Please note that the abstract submission deadline for EMS is already in 11 days.

Urban climate summer school
21-26 August 2017 | Bucharest, Romania. Registration deadline: 15 May 2017
Climate monitoring; data rescue, management, quality and homogenization
4–8 September 2017 | Dublin, Ireland. Abstract deadline: 21 April 2017.
11th EUMETNET Data Management Workshop
18–20 October 2017 | Zagreb, Croatia. Abstracts deadline: 31 May 2017
C3S Data Rescue Service Capacity Building and 10th ACRE Workshops
4-8 December 2017 | Auckland, New Zealand.
Workshop - Data Management for Climate Services
April 2018 | Lima, Peru.




Climate monitoring; data rescue, management, quality and homogenization

EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2017 | 4–8 September 2017 | Dublin, Ireland
The abstract submission deadline: 21st April 2017.

OSA3.1. Climate monitoring; data rescue, management, quality and homogenization
Convener: Manola Brunet-India
Co-Conveners: Ingeborg Auer, Dan Hollis, Victor Venema

Robust and reliable climatic studies, particularly those assessments dealing with climate variability and change, greatly depend on availability and accessibility to high-quality/high-resolution and long-term instrumental climate data. At present, a restricted availability and accessibility to long-term and high-quality climate records and datasets is still limiting our ability to better understand, detect, predict and respond to climate variability and change at lower spatial scales than global. In addition, the need for providing reliable, opportune and timely climate services deeply relies on the availability and accessibility to high-quality and high-resolution climate data, which also requires further research and innovative applications in the areas of data rescue techniques and procedures, data management systems, climate monitoring, climate time-series quality control and homogenisation.

In this session, we welcome contributions (oral and poster) in the following major topics:
  • Climate monitoring , including early warning systems and improvements in the quality of the observational meteorological networks
  • More efficient transfer of the data rescued into the digital format by means of improving the current state-of-the-art on image enhancement, image segmentation and post-correction techniques, innovating on adaptive Optical Character Recognition and Speech Recognition technologies and their application to transfer data, defining best practices about the operational context for digitisation, improving techniques for inventorying, organising, identifying and validating the data rescued, exploring crowd-sourcing approaches or engaging citizen scientist volunteers, conserving, imaging, inventorying and archiving historical documents containing weather records
  • Climate data and metadata processing, including climate data flow management systems, from improved database models to better data extraction, development of relational metadata databases and data exchange platforms and networks interoperability
  • Innovative, improved and extended climate data quality controls (QC), including both near real-time and time-series QCs: from gross-errors and tolerance checks to temporal and spatial coherence tests, statistical derivation and machine learning of QC rules, and extending tailored QC application to monthly, daily and sub-daily data and to all essential climate variables
  • Improvements to the current state-of-the-art of climate data homogeneity and homogenisation methods, including methods intercomparison and evaluation, along with other topics such as climate time-series inhomogeneities detection and correction techniques/algorithms, using parallel measurements to study inhomogeneities and extending approaches to detect/adjust monthly and, especially, daily and sub-daily time-series and to homogenise all essential climate variables
  • Fostering evaluation of the uncertainty budget in reconstructed time-series, including the influence of the various data processes steps, and analytical work and numerical estimates using realistic benchmarking datasets


Related are the sessions: Metrology for meteorology and climate and Climate change detection, assessment of trends, variability and extremes.





Urban climate summer school


University of Bucharest, Bucharest, Romania
August 21-26, 2017
Registration deadline: 15 May 2017

Organizers : Research Institute of University of Bucharest (ICUB), Urban Climate Research Center at Arizona State University (ASU), Urban Water Innovation Network (ASU-CSU), Society for Urban Ecology (SURE), Interdisciplinary Center of Advanced Research on Territorial Dynamics (CICADIT)

Rationale and goals : Urban areas impart significant local to regional scale environmental perturbation. Urban-induced effects, simultaneously with impacts owing to long-lived emissions of greenhouse gases, may trigger additional physical and socioeconomic consequences that affect the livelihoods of urban dwellers. While urban areas amass more than 50% of the world population, and three of four Europeans live in a city, the systematic monitoring and assessment of urban climates, mitigation of and adaptation to adverse effects, and the strategic prioritization of potential solutions may enable enhanced preparedness of populations and local authorities. Such challenges call for enduring scientific advancements, improved training and increased awareness of topical issues.

This summer school aims to provide structured information and skill-building capabilities related to climate change challenges in urban areas, with a primary focus of creating an active pool of young scientists that tackle the major sustainability challenges facing future generations. The critical areas to be covered refer to
(1) modern monitoring of urban environments
(2) modelling tools used in urban meteorology and climatology
(3) adaptation and mitigation strategies and their prioritization
(4) exploring critical linkages among environmental factors and emerging and chronic health threats and health disparities. Those attending can expect to gain an understanding of the state-of-the-art and be capable to use the most appropriate tools to address specific problems in their respective fields of interest.
The summer school is intended for doctoral and post-doctoral students who already have basic knowledge and interest for urban climate issues.

More information ...





11th EUMETNET Data Management Workshop

Zagreb, Croatia, 18 – 20 October 2017
More information will appear later on the homepage: http://meteo.hr/DMW_2017

Main Topics

  • Data rescue: investigation, cataloguing, digitization, imaging
  • Climate observations: standards and best practices, definition of climatological day, mean values
  • Metadata: WMO Information System (WIS), INSPIRE, climate networks rating guides
  • Quality control: automatic/manual of climate time-series, on-line data, real-time observations
  • Homogenisation of climate time-series from sub-daily to monthly scale, homogenisation methods, assessment of inhomogeneity
  • Archiving: retention periods, depository, climate service centres and data collections for scientific and public use, databases, data access, user interface, data distribution

Call for Abstracts

Presentations will be oral or posters. Abstracts should be written in English, short, clear, concise. Figures, tables, mathematical symbols and equations should not be included. Abstracts should be sent before May 31st 2017 and send to dmw2017@zamg.ac.at. Authors will be informed about the acceptance of their papers by the scientific committee early in September.

Conference Venue and Programme

The workshop will be held in the building of Croatian State Archives: Marulićev trg 21, Zagreb, Croatia.

Wednesday, October 18th 2017

08:30-09:30 registration
09:30-16:00 sessions
17:00 - guided tour, ice breaker

Thursday, October 19th 2017
09:00-17:00 sessions
19:00 workshop dinner

Friday, October 20th 2017
09:00-15:30 sessions

Further Information

Conference registration fee is 80 €. Details on registration procedures and the workshop in general will be available
on the website: meteo.hr/DMW_2017 (later)
Contact: dmw@cirus.dhz.hr

Scientific Organization

Ingeborg Auer (ZAMG)
Peer Hechler (WMO)
Dan Hollis (UKMO)
Yolanda Luna (AEMET)
Dubravka Rasol (DHMZ)
Ole Einar Tveito (MET Norway)





C3S Data Rescue Service Capacity Building and 10th ACRE Workshops


The C3S Data Rescue Service Capacity Building and 10th ACRE Workshops will be held at NIWA in Auckland, New Zealand during the week of the 4th-8th of December this year. There is no homepage on this meeting yet, but more information will follow later on: www.met-acre.net. This homepage also gives information on the previous annual ACRE workshops.





Workshop - Data Management for Climate Services

Taller – Gestión de Datos para los Servicios Climáticos

Location: Lima, Peru
Time: April 2018 (date to be defined)
Organized by: CLIMANDES - Climate services to support decision making in the Andes Supported by: Swiss Agency for Development and Cooperation (SDC) and the World Meteorological Organization (WMO)
Region: Ibero-American Countries
Duration: 3 days (9:00 a.m. - 5 p.m.)
Number of participants: 80 - 100

Introduction

The implementation of the WMO-led Global Framework for Climate Services (GFCS) strengthens the capabilities of National Meteorological and Hydrological Services (NMHSs) through its five pillars (Observations and Monitoring; Capacity Development; User Interface Platform; Research, Modeling and Prediction; Climate Services Information System). In this context, SENAMHI and MeteoSwiss are developing the first workshop on "Data Management for Climate Services" focusing mainly on the first three of the mentioned pillars. The workshop will be carried out in Peru by members of the CLIMANDES project with the support of SDC and WMO.

The workshop "Data Management for Climate Services" is addressed towards both the technical and the academic community involved in the implementation of national climate services. The workshop focuses on sharing knowledge and experiences from the provision of high-quality climate services targeted at WMO's priority areas and their citizens. The methodologies will cover topics such as quality control, homogenization, gridded data, climate products, use of open source software, and will include practical examples of climate services implemented in the Ibero-American region. The workshop will contribute to the continuous improvement of technical and academic capacities by creating a regional and global network of professionals active in the generation of climate products and services.

Objectives

  • Strengthen data management systems for the provision of climate services.
  • Share advances in the implementation of climate services in the Ibero-American region.
  • Interchange with other NMHSs on best practices in climate methodologies and products.
  • Improve the regional and global collaborations of the NMHSs of the Ibero-American region.
  • Show the use of open-source software.

Outcome The following outcomes of the workshop are envisaged:
  • A final report providing a synthesis of the main results and recommendations resulting from the event.
  • The workshop builds the first platform to exchange technical and scientific knowhow in Ibero-America (WMO RA-III and IV), and among participants from all other regions.
  • Hence, the workshop contributes to the creation of a regional and global network in which knowhow, methodologies, and data are continuously shared.

Content

The workshop will consist of four sessions consisting of presentations, posters and open discussions on:

● Session 1:
  • Data rescue methods: methods for data rescue and cataloguing; data rescue projects
  • Metadata: methods of metadata rescue for the past and the present; systems for metadata storage; applications and use of metadata
  • Quality control methods: methods for quality control of different meteorological observations of different specifications; processes to establish operational quality control

● Session 2:
  • Homogenization: methods for the homogenization of monthly climate data; projects and results from homogenization projects; investigations on parallel climate observations; use of metadata for homogenization

● Session 3:
  • Gridded data: verification of gridded data based on observations; products based on gridded data; methods to produce gridded data; adjustments of gridded data in complex topographies such as the Andes

● Session 4:
  • Products and climate information: methods and tools of climate data analysis; presentation of climate products and information; products on extreme events
  • Climate services in Ibero-America: projects on climate services in Ibero-America
  • Interface with climate information users: approaches to building the interface with climate information users; experiences from exchanges with users; user requirements on climate services

Furthermore, hands-on sessions on capacity building, e-learning, the use of open-source software, and on ancestral knowledge in Ibero-America will take place during the workshop. The workshop is complemented by an additional training day on climate data homogenization and a field visit at the end of the workshop.

Organization

The Meteorological and Hydrological Service of Peru SENAMHI will organize the workshop on “Data Management for Climate Services” in close collaboration with the Federal Office of Meteorology and Climatology MeteoSwiss. The workshop is part of the project CLIMANDES 2 (Climate services to support decision making in the Andes) which is supported by the Swiss Agency for Development and Cooperation SDC and by the World Meteorological Organization (WMO).

For more information and to get notified when the date is known please contact: Climandes.