Download REPORT ON KEY OPACE2 ACHIEVEMENTS, CHALENGES AND

REPORT ON KEY OPACE2
ACHIEVEMENTS, CHALENGES AND
REQUIREMENTS:
ET-NCMP, TT-URCDCM AND ETCCDI
By Fatima Driouech (OPACE2, co-chair)
WMO/CCl MG-2016, Yerevan, Armenia, 6-8 September 2016
ET on National Climate Monitoring Products (ET-NCMP)
Meetings and Activities
 1 face to face meeting (Marrakech) and 7 teleconf
 fruitful meetings, large participation of members
 A survey on the National climate monitoring products (what?, how?,
How many?)
60 responses
 A list of focal points for the NCMPs
30
 Analysis sheared with OPACEs TT/ET 25
20
& Focal points
15
10
5
Region VI (Europe)
Region V
(S.Pacific)
Region IV
(N.America,
C.America,
Caribbean)
Region III
(S.America)
Region II (Asia)
0
Region I (Africa)
- Most calculate monthly temperature and
precipitation anomalies
- 2/3 calculate area averages
- 1/2 calculate monthly SPI
ET on National Climate Monitoring Products (ET-NCMP)
Main Achievements
 Finalization of the Guidance for NCMPs
 Under external review (CCl-MG)
 Comments received
(waiting for others if any)
ET on National Climate Monitoring Products (ET-NCMP)
Main Achievements (Ctnd)
 Software and user manual
 under internal review
OPACE-2 ( John Kennedy) Coordinated the WMO Annual Statement on the Status of
Global Climate for 2014 and 2015 released in provisional form at COP20 and COP21
respectively and formally published in March the following year
ET on National Climate Monitoring Products (ET-NCMP)
Next steps and Challenges
Melbourne meeting : the next steps & review of challenges
 Finalize version 2 of guidance (including comments)
and format for publication
 Finalize the computing software
 A first capacity building/ implementing workshop late 2017 (??)
!
Some challenges encountered in Software Developments but a good progress
have been done
TT on the use of Remote Sensing Data for Climate Monitoring
(TT-URSDCM)
Meetings
1 face to face meeting (in Pretoria) and 2 teleconf
Main Achievements
• A paper on the use of weather radar data
for climate monitoring/purposes in RA VI
has been elaborated;
Use of Weather Radar Data in WMO Region VI Countries.
TT on the use of Remote Sensing Data for Climate Monitoring
(TT-URSDCM)
Main Achievements (Ctnd)
 Papers on the use of lightning detection data for climate
monitoring/purposes have been collected and will be made available to
Members incl. NCMP Focal Points.
! Some Challenge
- The representative from WMO Region I has resigned
 the TT got an offer to replace him with a new colleague from Ghana:
Nana ama browne klutse (Ph.D)
Remote Sensing and Climate Center (Ghana Space Science and Technology Institute)
CCl-MG agreement ?
TT on the use of Remote Sensing Data for Climate Monitoring
(TT-URSDCM)
Scheduled
 Activities on Radar data from other regions are currently
collected.
 Information will be made available to Members incl. NCMP
Focal Points.
(The aim is (i) to promote the use of weather radar data to complement climate data
sets and (ii) to facilitate the definition of climate requirements for the storage,
management and accessibility/usability of weather radar data. )
 A close collaboration with CBS and IPTCDMP is planned.
 A review of the CEOS/CGMS/WMO ECV inventory in order to
identify data sets suitable for operational climate monitoring;
results will be communicated to Members incl. NCMP Focal
Points.
 Next teleconf in September
ET on Climate Change Detection Indices
(ET-CCDI)
Main Achievements
 A new RClimDex nearly ready for posting (Code ready, document is scheduled
for the next 2months).
Calculation consistent with the one used for model data.
Can process multiple stations at once.
 Xuebin attended the CR4D capacity
building workshop in Botswana late May.
This leads to an invitation to have a
central and southern African workshop.
 Discussions on meta data requirement for
model indices with CORDEX (and CLIPC).
 Discussions within the WCRP on updating
indices data ==>planning.
ET on Climate Change Detection Indices
(ET-CCDI)
Main Achievements (Ctnd)
 Marine indices:
 Codes developed for calculating : Extreme wave height &
Extreme water level indices.
Extreme wave Extreme
height indices
water(moored
level indices
buoy(GLOSS
data, reanalysis
tide gauge
anddata)
model scheduled)
ID ID
HsMx
WlMx
Indicator
name
Indicator
name
Monthly
max
Hswater level
Monthly
max
Definitions
Units
Definitions
Units
Monthly
maximum
value
of significant
Monthly maximum
value
of water
level (Wl) wave height (Hs) m m
HsAx
WlMn
Annual
maxmin
Hs water level
Monthly
Annual
value
significant
Monthlymaximum
minimum value
of of
water
level (Wl)wave height (Hs)
mm
HsRo
WlAx
Rough
wave
days
Annual
max
water level
Annual
count ofvalue
daysofwhen
Annual maximum
waterdaily
level max
(Wl) Hs > 2.5 m
m days
HsHi
WlAn
HighAnnual
wavemin
dayswater level
Annual
count ofvalue
daysofwhen
max Hs > 6 m
Annual minimum
waterdaily
level (Wl)
m days
Frequency of extreme high water level Annual
Annual percentage
of days
when
daily daily
max Wl
> 90th
fHsRo
percentage
of days
when
max
Hs percentile
> 2.5 m
fWlX90p Frequency of rough wave days
days
fHsHi
Frequency of high wave days
fHs90p
Frequency of top decile wave days
fWlN10p
HWlDI
Frequency of extreme low water level
days
High water level spell duration
indicator
fHs10p
Frequency of low decile wave days
HHsDI
Top decile wave spell duration
indicator
% %
(all calendar days share the same percentiles)
Annual
percentage
of days
when
Hspercentile
>6m
%
Annual percentage
of days
when
daily daily
min Wlmax
< 10th
of
base
period
(1961-1990?)
(all
calendar
days
share
the
same
%
Annual percentage of days when daily max Hs > 90th
percentiles)
percentile
of base period (1961-1990?) (all calendar days %
Annual count of days with at least 2 consecutive days when daily
share
same
percentiles)
max Wlthe
> 90th
percentile
of base period (1961-1990?) (all
days
Annual
percentage
of
days
when
daily
max
Hs
<
10th
calendar days share the same percentiles)
percentile of base period (1961-1990?) (all calendar days %
share the same percentiles)
Annual count of days with at least 2 consecutive days
when daily max Hs > 90th percentile of base period (1961- days
1990?) (all calendar days share the same percentiles)
ET on Climate Change Detection Indices
(ET-CCDI)
Main Achievements (Ctnd)
Two ETCCDI-like regional workshops
 One in Arusha, Tanzania, November 2015 for the Indian Ocean
Rim countries.
A report for the donors has been produced
 A scientific regional assessment is underway.
 A second one was held in Guatemala, October 2015 (was
attended by all the Mesoamerican met services. Progress is
underway for advancing in QC and homogenisation to better
assess changes in extremes over Mesoamerica.
ET on Climate Change Detection Indices
(ET-CCDI)
Future work scheduled:
 User guide for the new Rclimdex
 Storm surge indices (software) and User guide for marine indices
 ETCCDI workshop for Central Southern Africa in Gaborone next year.
 Financial aspect (! Some challenge)
 Ongoing work in Europe on indices from models and observations
(as part of the CLIPC and IS-ENES projects of the EU and as part of planned
EU-Copernicus services).
 Contribution to the IPCC AR6 cycle (Updating indices, Meta data
requirements for model indices, …)
Future direction (suggestions):
 Enhanced WMO Climate Statements and multiyear
climate reports based on generation and
dissemination of NCMPs
 Monitoring climate indicators (post Paris agreement)
(sea ice, sea level, …, Extension of CMPs)
 Taking more benefit from remote sensing (Radar,
Satellite, lightning, …)
Yerevan by night
Thank you