national climate monitoring products
DESCRIPTION
National Climate Monitoring Products. Andrew Watkins and John Kennedy (updated 28/4/2014). Example: a current national climate monitoring product (not a WMO NCMP). Typical Users and Potential Users of National Monitoring Information from WMO nations. WMO Global Seasonal Climate Update - PowerPoint PPT PresentationTRANSCRIPT
National Climate Monitoring Products
Andrew Watkins and John Kennedy (updated 28/4/2014)
Example: a current national climate monitoring product
(not a WMO NCMP)
Typical Users and Potential Users of National Monitoring Information from WMO nations
WMO Annual Statement •Many contributing authors•National information from WMO countries
Bulletin of American Met. Society (BAMS) •Annual State of the Climate report.•Regional chapter•Many contributing authors•National information from WMO countries
WMO Global Seasonal Climate Update•A CCl activity •Combines monitoring and prediction on seasonal scale•Could be supplemented with national information from WMO countries
NOAA/NCDC (and similar agencies) monthly global climate reports•Regular, monthly assessment of climate conditions for the globe•Uses national information from WMO countries
Task Team on National Climate Monitoring Products
• Goals:– Create a short list of National Climate Monitoring
Products– That can be produced consistently by most
countries– Produce precise guidance for each– Produce standard software– Devise workshops and training material– Produce guidance for reporting and interpretation
National Climate Monitoring Products
1. Monthly area-average mean temperature time series (max+min)/2.
2. Monthly area-average of total precipitation anomalies expressed as percentages.
3. Monthly area-average of standardised precipitation index (SPI) calculated for each station.
4. Monthly area-averaged Percent of Time Tmax > 90th Percentile of Daily Maximum Temperature
5. Monthly area-averaged Percent of Time Tmin < 10th Percentile of Daily Minimum Temperature
6. Significant climate and weather event relevant to the area or region.
Implementation
• Based on Expert Team for Climate Change Detection and Indices (ETCCDI) code
• Written in ‘R’
• Freely available, open source.
From station indices to area-averages
• Ordinary Kriging– A standard method from geostatistics– Easy to implement
• Use station data to estimate value at any point• (relatively) easy to understand/teach• BEST - Best Linear Unbiased Estimator
Example: Australian Precipitation
NCMP - ~150 freely available stations OFFICIAL
Monthly US temperatures (NCMP1)
Monthly US precip (NCMP2)
Warm days and cold nights (NCMP 4 and 5)
NCMP updates would take the form of
• A message
Dissemination Routes
NCMPFocal point
NHMSwebsite
RCC GCC
Other NHMSWMO
BAMS SotC
JournalistsCitizens
Stakeholders
XML?
BUFR
NCMP
• For each NCMP for each month in the record– Monthly values– Number of stations used to calculate NCMP– Quality flag
• For whole series– Method/software version– Focal point– Station list– Link to additional metadata
NCMP monthly updates/messages• Date: 2013/01• Country: UK
• NCMP 1 (Mean Temperature anomaly): -1.7°C• Station Count: 23• Normal Period: 1971-2000• Quality Assurance Indicator: 3 = QC, homogenised network
• NCMP 2 (Precip): 87%• Station Count: 111• Normal…
• NCMP 6 (Extreme events): 2 events• Event 1 type: Station record minimum temperature• Event 1 value: -8°C• Event 1 station id: 31276
• Method/software: Version 7.2.1.0.0 of R_NCMP• Focal point: [email protected]
Some (not all!)Issues to be resolved
• How open/adaptable is the final tool?
• How to incorporate training?