Climate Watch and PREPdata are new, innovative and data-centered platforms designed to increase the transparency of and access to data to empower informed and efficient decision-making on adapting to and mitigating climate change. The event included a walk-through of Climate Watch and the PREP platforms, focusing on the scope and concept of the two tools and how they can benefit adaptation and resilience practitioners, particularly those in vulnerable regions such as small island developing states (SIDS).
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Global Data to Build Climate Resilience and Drive Action
1. Global Data to Build Climate
Resilience and Drive Action
An Introduction to the Partnership for Resilience and
Preparedness (PREP) and Climate Watch
5. The Challenges
Photo Credit: PREPdata
1. Access to useful, timely, credible data
2. Confusing, fragmented landscape of platforms,
tools, methods
3. Climate datasets are not user-friendly
4. Data disparity between Global North and South
5. Lack of feedback mechanisms between data
providers and users
6. Need better cross-sectoral knowledge sharing on
climate preparedness
6. Origins of PREP
Photo Credit: NPS Climate Change Response/Flickr
PREP began as The President’s Climate Data Initiative:
Empowering America’s Communities to Prepare for the
Effects of Climate Change. As a U.S. climate data
initiative, it would leverage vast, underutilized datasets.
8. Building Resilience Through Data
Photo Credit: Seika/Flickr
PREP — both through the Partnership and
its PREPdata platform — helps visualize
and customize data, improves access to
datasets, and supports the climate
resilience ecosystem.
9. Features:
(www.prepdata.org)
Explore | Find, layer and visualize
datasets
Customized Dashboards | Monitor
indicators of interest
Stories | Share insights and use
case studies with global community
What is PREPdata?
10. PREPdata Feature – Data exploration
(www.prepdata.org)
• Search for climate-relevant data on
the Explorer or upload your own data.
• Query and combine with data from other
sources, and visualize them in the same
platform.
• See what data similar communities are using to
build resilience around the world.
• Request data
17. What makes PREPdata unique?
Visualized dataset of roads worldwide. Photo Credit: PREPdata
• A focus on visualizing data
for climate resilience
• A map-based platform that is
user-friendly and
customizable to different
contexts and skill levels
• Active curation of data sets
• Commitment to global
coverage
• A user-needs based strategy
for platform development
and data content
• Diverse group of partners
18. PREP – going forward:
Photo Credit: IRIN/Flickr
• PREPdata launch in January 2018
• Ongoing expansion of data coverage and content
• Application in two Indian states (Uttarakhand and Madhya
Pradesh) to use PREPdata to support implementation of
their State Action Plans on Climate Change.
• Planning application of PREPdata in Africa
• Exploring use of PREPdata to support adaptation planning
in the private sector
• Additional pilot applications of PREPdata – with PREP
support. Please share your ideas
19. PREPdata - Launching January 2018.
For additional information –
• See www.prepdata.org
• Contact info@prepdata.org
The Partnership for Resilience and Preparedness (PREP) is a public-private collaboration that seeks to improve access to useful data and empower communities and businesses to better plan for and build climate resilience.
A crucial challenge in building resilience to climate change is the lack of access to useful, timely and credible data and information.
Adaptation and resilience practitioners face a confusing and fragmented landscape of platforms and tools, and lack guidance on how to understand and manage climate risk using the data available.
Access to the right data has been identified as a problem across sectors (public, private, civil society) and across geographies.
The data landscape is uneven – in the Global North, countries have a lot of data, much of which is difficult to navigate and goes unused. For countries in the Global South, data availability and access is often insufficient to support adaptation planning needs.
This problem is exacerbated by a lack of feedback mechanisms to help data providers understand user needs.
Finally, there is a pressing need for better cross-sectoral collaboration and knowledge-sharing on climate and adaptation planning.
PREP was launched in September 2016, as part of a White House initiative. US government agencies like NASA have amassed hundreds of datasets yet they remained largely underutilized, and difficult to access. PREP, through the data platform, aimed to deliver on a commitment of the Obama’s Climate Action Plan to leverage the extensive data resources to support innovation and entrepreneurship in support of national climate change preparedness. (Note: that was the initial focus – US data, but we are now adding US and global data, and will soon begin adding data for India.)
There are two key elements to PREP: the partnership and the online platform it supports (PREPdata).
The PREP Partnership brings together a diverse group of stakeholders from the public, private and nonprofit sectors, including government agencies, leading technology companies, and networks of climate preparedness practitioners. Currently, PREP has 31 members. (31 at present, as it seems we don’t count USGCRP, which is a “coordinator.)
The partnership supports the adaptation planning community by:
Providing data, technology, and technological expertise;
Serving a networking and facilitation role in the climate change and adaptation planning ecosystem;
Soliciting input on user needs and data priorities to streamline and curate data for resilience planning;
Working to improve interoperability across different data products and platforms;
Developing products and guidance;
Supporting applications (use and testing) of PREPdata applications to build capacity for adaptation planning.
PREPdata is a map-based, open-data online platform (www.prepdata.org) that allows users to access and visualize climate, physical, and socioeconomic data for climate adaptation and resilience planning.
It is being developed as a flexible tool for climate adaptation planning, designed to address many of the gaps and challenges adaptation practitioners face.
PREPdata also enables users to:
monitor and share indicators on customized dashboard.
share their climate adaptation stories with a global community.
We don’t go deep on stories later, so if you want to say more: The Stories feature supports user communication efforts –highlighting climate vulnerability analyses efforts and findings through case studies, and adaptation planning solutions.
PREPdata will also provide feedback mechanisms enabling adaptation practitioners to inform data providers about the tools and information they need and use – filling a critical gap in the climate data ecosystem.
I’ll now provide examples of several of these features – from a platform currently under development.
Data Exploration: A map-based interface allowing users to visualize, download, and utilize data
PREP partners will help to actively curate data for the Data Exploration feature, so that users are presented with a manageable number of targeted, higher-quality dataset options.
The platform will also be customized to enable users to upload their local or preferred datasets.
Animation slide: (insert Animation slide 1)
The map-based date explore feature is designed to accommodate both novice and experiences users. A highly curated, topical menu-based interface allows users to find and visualize “core” data sets for the US or the world, organized around Climate and Hazards, Exposure of people and assets, and vulnerability, with more specific sub-themes under each.
More experienced users, or users looking for a specific data set might prefer to use the “all data sets” space.
A user could search for Dams, for example, where they’d be shown dams and reservoirs, categorized by main use. They can see which other layers are available for that specific dataset, like one showing simply the locations of dams around the world.
The user could then overlay additional datasets, like a monthly drought outlook, to see which dams and reservoirs fall within areas that are predicted to experience drought in the near future.
There are multiple functionalities available to the user – easily turning layers on and off, zooming to a particular area of interest, and altering the opacity of layers.
This allows for visual exploration of features and conditions which are co-located. For example, a user is able to see which types of dams and reservoirs are in an area where drought development is likely in the next month.
About these two datasets:
DAMS AND RESERVOIRS:
The Global Reservoir and Dam Database, Version 1 (Revision 01) contains 6,862 records of reservoirs and their associated dams with a cumulative storage capacity of 6,197 cubic km. The data were compiled by Lehner et al. (2011) and are distributed by the Global Water System Project (GWSP) and by the Columbia University Center for International Earth Science Information Network (CIESIN). [http://sedac.ciesin.columbia.edu/data/set/grand-v1-dams-rev01]
DROUGHT OUTLOOK:
Monthly drought outlook for November 2017 (published 10/31/17) by NOAA’s National Weather Service Climate Prediction Center. This data is produced monthly and seasonally for the United States. Areas are categorized into four classes: 1) drought persists, 2) drought persists, but improves; 3) drought removal likely, 4) drought development likely. [http://www.cpc.ncep.noaa.gov/products/GIS/GIS_DATA/droughtlook/index.php]
Some regularly-updated datasets registered on PREPdata are accessed via links to the data sets on their source platforms. As a result, they are dynamically updated when data are revised (such as when drought or flooding forecasts are updated).
NOAA COASTAL FLOOD HAZARD
This dataset depicts areas most prone to coastal flood hazards by representing the number of coastal flood hazards that occur in that area. On the legend, Zone 1 shows an area with only one type of coastal flood hazard zone, while Zone 10 shows an area with ten co-located flood hazard zones. Currently the extent of this map service is limited to U.S. coastal counties along the Gulf of Mexico and Atlantic Ocean, from Texas to Maine. The dataset was developed from a union of FEMA flood hazard, USACE hurricane evacuation study, NOAA sea level rise of 3-ft above MHHW, and NOAA Shallow Coastal flooding georeferenced digital data. This data is originally from January 2013, but is connected via a web service, and will update when the dataset is updated on the federal server.
Optional: if we go with option B: Here, the data are overlaid with the location of coastal energy facilities (a global dataset). (I need to get source info).
Still slide: Dashboards:
Customized Dashboards that allow users to monitor and share key indicators in the form of charts, graphs, or maps. Dashboards can be used privately or shared with wider user community.
Animation slide:
Here is an example of a dashboard created by the Sonoma County Climate Resilience Team. Their dashboard contains an overview of some of the climate challenges the region faces, a collection of resources, and a set of widgets, or charts, graphs, and maps that display data relevant to Sonoma’s climate challenges. Users can interact with these widgets and see, for example, the total amount of precipitation in Sonoma County on an annual basis, both historical and projected. They can also see how, for example, both historical and projected increases in minimum monthly winter air temperatures for the area using a time slider.
About the Datasets:
All the datasets shown are from USGS, based on the USGS California Basin Characterization Model, which provides historical and projected climate and hydrology data at a 270 meter resolution. The model uses 7 CMIP-3 GCM+SRES combos and 11 CMIP-5 GCM+RCP combos for these time periods: Historic: 1921-1950, 1951-1980, 1981-2010; Projected: 2010-2039, 2040-2069, 2070-2099. These specific datasets were last updated in 2014. [http://climate.calcommons.org/bcm]
Still slide: Creating Graphs:
The charts, graphs, and maps included on a dashboard are developed from the data registered on PREPdata, using a “widget creator” tool. Here is an example where we explore a global data set on landslides.
Animation slide:
Let’s explore another dataset, and see how to develop a bar chart from that data.
We’re seeing here the distribution of rain-triggered landslide events around the world
We can see this dataset has multiple layers incorporated into it – including one showing landslides by TRIGGER
Zooming in, we can clearly see a large concentration of orange dots – landslides triggered by Tropical Cyclones – in the Philippines
In addition to using the map, PREPdata user can interact with these datasets by creating their own widgets, such as graphs or bar charts.
You can see here an example of creating a bar chart, organized by COUNTRY and landslide TRIGGER
We can choose for the data to be FILTERED by trigger -- let’s check “Tropical Cyclones”
And then put the data in descending order so we can see the countries with the largest number of landslides triggered by tropical cyclones
And here we can see the Philippines with the highest, by far, just as we saw on the map
These are just a few of the interactive and dynamic functionalities and capabilities PREPdata will have.
About the Dataset:
NASA’s Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impacts or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center. This dataset was last updated in 2016. [https://data.nasa.gov/Earth-Science/Global-Landslide-Catalog/h9d8-neg4/data]
Several factors distinguish PREPdata from other adaptation platforms, including:
A specific focus on visualizing data for climate resilience;
A map-based platform that is user-friendly and customized to different contexts and skill levels;
Active curation of data sets, streamlining the process of accessing and navigating to relevant data;
A commitment to global coverage, with an emphasis on increasing access to data sets for the Global South, and support for applications across different scales and geographies;
A user-needs based strategy for platform development, utilizing the knowledge and network of the partners and platform users, and lessons from platform applications to enable continuous improvement.
What next for PREP?
Beginning in 2018, PREP is looking to support applications of PREPdata at national, regional, and local levels. These pilot applications will directly support local government and civil society partners in tackling climate adaption. They will also provide feedback that strengthens the platform, informs data collection, and supports adaptation planning discussions more broadly.
PREPdata launch: A beta version of PREPdata has been active for most of 2017. The full platform launches in January 2018.
Ongoing development of PREPdata, such as: expanding the dataset offer/menu, including more layers for existing and future datasets; drafting sample and template dashboards and graphs for users.
Applications in India: PREP is working with governments in two Indian states - Uttarakhand and Madhya Pradesh – to use PREPdata to support implementation of their State Action Plans on Climate Change
Pilot applications of PREPdata to support adaptation planning in the private sector.
Additional pilot applications of PREPdata with PREP support – We look forward to your ideas / interest in applications.
A robust online platform designed to empower policymakers, researchers and other stakeholders with the climate data, visualizations and resources they need to gather insights on national and global progress on climate change.