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(1)

Drought Weather and Climate supporting tools

National Drought Indaba 15-16 September 2016

Department of Agriculture, Forestry and Fisheries South African Weather Service

(2)

SAWS mandate

Established as an AGENCY on 15 June 2001 Two distinct Services:

Public Good Commercial

Funded by Government

Grant Forecasts &

Warnings

User-pays principle

applies Tailor made

products &

services

(3)

Creating a Weather-SMART nation

VISION

“A weather-SMART nation.”

SAWS wants to achieve an end-state where citizens, communities and business sectors are weather resilient because they are able to use the information, products and

services provided by SAWS optimally.

S – Safe

M – More informed A – Alert

R – Resilient/Ready

T – Timeous

(4)

SAWS products & services

Training

Centre Forecasting Research &

Develop

Climate

Services Air Quality Met Authority

Technical Services Satellite

Centre of Excellence

Aviation services Marine services General forecasting

SADC specialized Met centre

Observation research

Now &

short-term forecasting Long-term forecasting

& outlooks

Observation network National

climate data bank

Climate information

Climate services (NFCS)

SA Air Quality Info

System Climate Change Global Atmospheric

Watch

ICAO compliance

(Oversight)

Manufacturing

&

assembling New product

development

(5)

SAWS has recently be registered as an

Weather and climate research

o Now-casting and very short range forecasting;

o Short and medium range forecasting;

o Long range forecasting;

o Global Atmospheric Watch (GAW);

o Ozone and radiation;

o Climate change and variability;

o Air quality ;

o Applications research with emphasis on water resources, agriculture, health, energy;

and disaster risk reduction; and

o Historical climate monitoring and analysis.

ACCREDITED NATIONAL RESEARCH INSTITUTION

(6)

SAWS key value add services

0-6 hours

6-24 hours

24-72 hours

4-10 days

11-30 days

1 month

2 years >2 years

Observations /Numerical weather prediction/Coupled GCM outlooks/ CC projections

Now-casts Satellite

Radar Upper air SAFFG / LDN

Weather forecasts Meso-scale

Ensembles SADC & SA

Medium-range forecasts Ensembles

Statistics

Seasonal predictions

Multi-model ensembles

Statistics

Climate projections

Multi-model ensembles Downscaling

Watches and warnings Severe weather

Daily weather events

Advisories Potential

hazardous weather events

Rain & temperature anomalies

Outlooks Probabilistic rain

& temperature outlooks

Projections Climate change

Anomalies

& frequencies

(7)

Observations

1277

Rainfall stations

214

Automatic weather stations

141

Automatic rainfall stations

25

Climate stations

24

Lightning sensors

14

Radars

10

Upper air stations 20

Weather Offices

(8)

Climate monitoring

The 1951 to 2015 annual mean near-surface temperature

anomalies (°C), as calculated

from the base period 1981–2010 and as recorded at 26 climate stations across South Africa (black dots on the map).

South Africa warms at a rate of 0.14 ° C per decade.

South Africa is warming at a slower rate if compared to other continental parts of the world - 1985 to 2014 global near-surface temperature trends (°C per decade).

Source: NOAA’s National Climate Data Centre.

(9)

Climate monitoring: pre-2015/16

The July 2014 to June 2015 period was already identified To be, on average, the driest season for South Africa since 1991-92, and the third driest since 1932-33.

(10)

Shaded (right) are districts that were identified in 2015 (January 2015 to December 2015) as the driest

districts since 1921.

Climate monitoring: pre-2015/16

(11)

Most of the

moisture for South Africa’s summer rainfall originates from the Indian Ocean, brought to the tropics of the continent by

easterly trade winds from where it flows to the eastern parts of South Africa.

In contrast to the 1997-98, the 2015-16 El Niño was associated with exceptionally warm SSTs in the Indian Ocean basin.

Climate monitoring: 2015/16

(12)

El Niño droughts are associated with an eastward shift of tropical rain bearing clouds from the tropics. At the same time, higher pressures develop over South Africa, with descending warm and dry air at the surface.

Weather monitoring: 2015/16

(13)

o The National Joint Drought Coordinating Committee National Joint Drought Coordinating Committee (NJDCC) was established by the South African

Government in 2015 to monitor the evolution and to respond to the risks posed by the 2015/16 drought to various national sectors. The NJDCC is hosted by the National Disaster Management Centre (NDMC) in the

Department of Cooperative Governance;

o At the beginning of the 2015/16 season, SAWS was invited to make key contributions to the newly established NJDCC - in the NJDCC SAWS is

regarded as a national authority to provide input on short-term forecasts and seasonal predictions;

o During 2015/16 weekly meetings took place

Weather monitoring: 2015/16

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CLIMATE SENSITIVE FARMING WITH A CATEGORICAL RISK REDUCTION SPREAD

o Align maximum production to the average climate;

o Obtain percentage frequencies of categorical climate events;

o Develop categorical risk reduction and production enhancement interventions;

o Apply incremental responses as the season progresses;

o Follow a long-term investment approach.

1 2

3 4 5

6

wettest

wetter

wet

drydrier

driest

CATEGORICAL OUTCOME

PROBABILITY

Using observational weather and climate records

AVERAGE

(15)

SEASONAL PREDICTIONS AS AN ADDITIONAL ADVANTAGE

o On the long-term, seasonal predictions could add value to existing CLIMATE SENSITIVE FARMING and CATEGORICAL RISK

REDUCTION practices;

o Seasonal predictions are given as the % probability of a season becoming wetter or drier than the average;

o IMPORTANT: The weight of % probabilities depend on the skill of the model used – always incorporate prediction model skill in decision making.

1 2

3 4 5

6

wettest

wetter

wet

drydrier

driest

SEASONAL PREDICTION

% probability

% probability

PROBABILITY

Incorporating probabilistic seasonal predictions

CATEGORICAL OUTCOME

AVERAGE

(16)

Seasonal prediction: ENSO

SOURCE:

http://www.jamstec.go.jp/frsgc/research/d1/iod/sintex_f1_forecast.html.en

(17)

Seasonal prediction: Issued August 2016

(18)

o SAWS is currently putting together a Global Warming Atlas which is regarded as an extension of its

forecasting, prediction and projection services;

o Future Climate Change research will focus on “The weather of climate change” or climate variability within climate change;

RCP 8.5: Annual rainfall change (mm/month) relative to 1985-2005

2046 – 2065 (+50 years) 2076 – 2095 (+80 years) 2046 – 2065 (+50 years) 2076 – 2095 (+80 years) RCP 8.5: Annual temperature change (ºC) relative

to 1985-2005

Climate change projections

%

(19)

The 2015-16 drought has created great public

awareness in weather and climate at all time scales, with exciting new opportunities for

The South African Weather Service

and its partners to progress towards creating a weather-SMART nation

Conclusions

(20)

Thank you

(21)

Towards a systems approach

Climates: Historical / Seasonal / Global warming

o Rainfall

o Max Temperature o Min Temperature

o Soil

o Vegetation o Land-use

o Dams and rivers o Catchments

Weather & climate

data: Landscape inputs:

o Irrigation o Urban

Hydrology response:

Irrigation response:

Dry-land response:

Dam / reservoir response:

Research for improvement

Socio-economic impact / feedback / participation

o Local runoff o Storm flow o Base flow o Σ streamflow o Sediments

o Maize yield o Wheat yield o Sugar Cane yield o Primary

production

o Type of irrigation o Return flows

o Abstractions o Inter-basin

transfers o Return flows

o Climate and

weather modelling o Downscaling

o Online modelling

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