IGAD CLIMATE PREDICTION AND APPLICATION CENTRE

Similar documents
ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 9 May 2011

El Niño-Southern Oscillation (ENSO): Review of possible impact on agricultural production in 2014/15 following the increased probability of occurrence

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 29 June 2015

Queensland rainfall past, present and future

CLIMATE, WATER & LIVING PATTERNS THINGS

The El Niño event: expected impact on food security and main response scenarios in East and Southern Africa

Integrated Regional Early Warning Bulletin GHACOF 43. June to September 2016 rainfall season

THE INFLUENCE OF LA NINA ON AFRICAN RAINFALL

Monsoon Variability and Extreme Weather Events

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center

South Africa. General Climate. UNDP Climate Change Country Profiles. A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1

The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation

RaysWeather.Com Winter Fearless Forecast

How To Predict Climate Change In Tonga

Storms Short Study Guide

Climate of Illinois Narrative Jim Angel, state climatologist. Introduction. Climatic controls

The Definition of El Niño

Relation between Indian monsoon variability and SST

climate science A SHORT GUIDE TO This is a short summary of a detailed discussion of climate change science.

Hurricanes. Characteristics of a Hurricane

Climate Change on the Prairie:

How Do Oceans Affect Weather and Climate?

MIAMI-SOUTH FLORIDA National Weather Service Forecast Office

Climate Extremes Research: Recent Findings and New Direc8ons

2. The map below shows high-pressure and low-pressure weather systems in the United States.

Scholar: Elaina R. Barta. NOAA Mission Goal: Climate Adaptation and Mitigation

MIAMI-SOUTH FLORIDA National Weather Service Forecast Office

Lecture 4: Pressure and Wind

ENVIRONMENTAL STRUCTURE AND FUNCTION: CLIMATE SYSTEM Vol. II - Low-Latitude Climate Zones and Climate Types - E.I. Khlebnikova

What Causes Climate? Use Target Reading Skills

2013 Annual Climate Summary for the Southeast United States

Armenian State Hydrometeorological and Monitoring Service

Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product

Climates are described by the same conditions used to describe

Georgia Performance Standards Framework for Natural Disasters 6 th Grade

MIAMI-SOUTH FLORIDA National Weather Service Forecast Office

Southern AER Atmospheric Education Resource

How To Predict Climate Change

Weather, Climate and Water Services for the Least Developed Countries

THE CURIOUS CASE OF THE PLIOCENE CLIMATE. Chris Brierley, Alexey Fedorov and Zhonghui Lui

Improving Hydrological Predictions

The Oceans Role in Climate

Research Commodities El Niño returns grains and soft commodities at risk

How To Help The Environment

Name Period 4 th Six Weeks Notes 2015 Weather

Munich Re RISKS AND CHANCES OF CLIMATE CHANGE FOR THE INSURANCE INDUSTRY WHAT ARE THE CURRENT QUESTIONS TO CLIMATE RESEARCH?

El Niño Insurance & Low-Emission Climate-Resilient Development in Peru

Heavy Rainfall from Hurricane Connie August 1955 By Michael Kozar and Richard Grumm National Weather Service, State College, PA 16803

Empirical study of the temporal variation of a tropical surface temperature on hourly time integration

PMEL Press Releases and NOAA News Stories FY09- FY14

2008 Global Surface Temperature in GISS Analysis

Development of an Integrated Data Product for Hawaii Climate

How to analyze synoptic-scale weather patterns Table of Contents

Geography affects climate.

Southern Africa The Rainfall Season

DFID Economic impacts of climate change: Kenya, Rwanda, Burundi Oxford Office. Climate report Rwanda October 2009

Climate Change in North Carolina

City of Salinas Flood Response Preparations

Indian Ocean and Monsoon

sample The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation

FLOOD FORECASTING PRACTICE IN NORTHERN CALIFORNIA

2015 Climate Review for Puerto Rico and the U.S. Virgin Islands. Odalys Martínez-Sánchez

El Niño in the Midwest a

Climate Change Impacts in the Asia/Pacific Region

Global Catastrophe Recap: First Half of 2016

Precipitation Monitoring Network:

GLOBAL INFORMATION AND EARLY WARNING SYSTEM ON FOOD AND AGRICULTURE (GIEWS)

CHAPTER 6 The atmosphere in motion

Follow That Hurricane!

Drought Decision-Support Tools: Introducing the Agricultural Reference Index for Drought ARID 1

Daily High-resolution Blended Analyses for Sea Surface Temperature

Chapter Overview. Seasons. Earth s Seasons. Distribution of Solar Energy. Solar Energy on Earth. CHAPTER 6 Air-Sea Interaction

Disaster Risk Reduction through people centered National Multi-hazard Early Warning System in the context of Maldives

6. Base your answer to the following question on the graph below, which shows the average monthly temperature of two cities A and B.

Drought Monitoring and Forecasting in Sub-Saharan African. Justin Sheffield Princeton University

Natural Gas Markets in 2006

Real-time Ocean Forecasting Needs at NCEP National Weather Service

The Caribbean Drought and Precipitation Monitoring Network: The Concept and its Progress

Decadal predictions using the higher resolution HiGEM climate model Len Shaffrey, National Centre for Atmospheric Science, University of Reading

1. Incredible India. Shade the map on the next page, to show India s relief. The correct shading is shown on the final page! Incredible India India

New challenges of water resources management: Title the future role of CHy

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity

The Pennsylvania Observer

CHAPTER 5 Lectures 10 & 11 Air Temperature and Air Temperature Cycles

Transcription:

IGAD CLIMATE PREDICTION AND APPLICATION CENTRE CLIMATE WATCH REF: ICPAC/CW/No.32 May 2016 EL NIÑO STATUS OVER EASTERN EQUATORIAL OCEAN REGION AND POTENTIAL IMPACTS OVER THE GREATER HORN OF FRICA DURING THE JJAS, OND, & DJF 2015/2016 RAINFALL SEASONS INTRODUCTION The Inter-Governmental Authority on Development (IGAD) Climate Prediction and Applications Centre (ICPAC) Mission is to foster climate information, prediction, timely early warning and applications for disaster risk reduction and sustainable development in the Greater Horn of Africa (GHA). ICPAC also supports capacity building, climate monitoring, prediction and early warning to ICPAC member countries for coping with current climate extremes as well as adapting to future climate changes in support of all relevant disaster management and sustainable development efforts. ICPAC produces regular regional 10 day, monthly and seasonal climate early warning updates. ICPAC also releases a special early warning Climate Watch bulletin to provide updates on the evolving global and/ or regional climate phenomena that may have profound impacts on the region. Climate watch is therefore intended to be a proactive climate impacts advisory. Climate extremes such as floods and droughts often have far reaching socio-economic impacts in the region. Among the ocean-atmosphere phenomenon that often cause greatest disruption of the normal climatic conditions worldwide is the El Niño-Southern Oscillation (ENSO). Impacts of strong ENSO events have been associated with worldwide occurrences of floods, droughts, cold/warm temperatures, and large scale winds and oceans currents anomalies in some regions. El- Niño updates from the global climate centres including the World Meteorological Organization (WMO) for May 2016 El-Niño report

suggest that both the ocean and atmosphere over the tropical Pacific indicate weakening of the El Niño, poised towards a gradual decline. The majority of the models surveyed and experts opinion on the 2015-16 El Niño suggest the tropical Pacific will reach neutral ENSO conditions by June, with an increasing likelihood of La Niña development during third quarter, and virtually no chance for a resurgence of El Niño (http://www.wmo.int/pages/prog/wcp/wcasp/documents/wmo_enso_may16_eng.pdf). The peak 3- month average strength of this El Niño, in terms of sea surface temperature anomalies was comparable to the very strong 1982-83 and 1997-98 El Niño events. Considering the situation, the impacts in some regions are expected to continue even during the decline of El Niño events, especially for strong events such as this one. Such impacts in the affected regions are expected to endure till the middle of 2016. It is important to note that El Niño and La Niña are not the only factors that drive global climate patterns. Further, the strength of an El Niño event does not necessarily closely correspond to its effects on regional climate. At the regional level other locally relevant climate drivers for example, the state of the Indian Ocean, the south-eastern Pacific or the tropical Atlantic sea surface temperature are likely to affect the climate (http://www.wmo.int/pages/prog/wcp/wcasp/ enso_update_latest.html ). This current climate watch gives an update of the 2015-16 El-Niño phenomenon, as well as the regional climate impacts during the period extending from June 2015 to February 2016. Also included in the discussion are the modification of ENSO regional impacts by the complex interactions with other global and regional systems such as Indian Ocean Dipole (IOD), Atlantic Oscillatory systems, topographical systems; the large inland water bodies, among others. The major regional climate anomalies that were observed over GHA during the seasons of JJAS, OND and DJF of 2015 are also included in this climate watch. The evolution patterns of the current El-Niño event started from mid 2015. It should however be noted that significant unique characteristics have been recorded that are similar with previous individual El Nino events such as the 1963, 1973, 1983, and 2002.

EL NIÑO, LA NIÑA AND EL NIÑO SOUTHERN OSCILLATION (ENSO) EVENTS AND THE POTENTIAL IMPACT TO THE GHA REGION El Niño refers to the periodic warming of the Eastern and Central Equatorial Pacific Ocean. It is a global scale phenomena that lead to occurrences of worldwide weather and climate extremes which may cause floods and droughts. La Nina on the other hand is the periodic build up of unusually cold waters in the eastern and central equatorial Pacific Ocean with reverse regional climate anomaly conditions to those observed during El Nino. Warm episodes (El-Niño events) are often, but not always, associated with suppressed (below normal) rainfall over most parts of the northern sector of the GHA region during the peak rainfall season of July to September. On the other hand, cold events (La Niña) tend to enhance (above normal) rainfall amounts over most parts of this sector during the same period. Several areas within the equatorial sector usually experience enhanced rainfall during the October to December rainfall season during El Niño events. The enhanced rainfall during October to December tends to extend into the following year, making wet the usually dry months of January and February. On the other hand, rainfall tends to be suppressed during the June to September period in the western parts of the equatorial sector. During a cold event, the rainfall in October to December tends to be suppressed in several places of the equatorial sector while rainfall is enhanced in June to September in the western areas. Below or above average rainfall amounts are often observed over most parts of the southern sector of the GHA during El-Niño or La Niña events respectively. It should however be noted that not all El-Niño or La Niña events give the same impacts in the GHA. In other words, no two events are exactly similar as to the nature of their occurrence and the impacts on local climate patterns. In addition, the overall influence on the rainfall patterns is dictated by a number of other factors such as the time of onset, month of peak intensity, seasonal persistence and withdrawal phases as well as strength of the event and the characteristics of the surrounding ocean basins. These ocean basins are the moisture sources for rainfall generation. Indian Ocean Dipole (IOD) is one of the key regional systems over Indian Ocean that has significant impacts on climate over GHA.

EVOLUTION OF THE NINO PHENOMENA Positive equatorial sea surface temperature (SST) anomalies continued across most of the Pacific Ocean in the first quarter of 2016. A transition to ENSO-neutral is likely during late Northern Hemisphere spring or early summer 2016, with an increasing chance of La Niña during the second half of the year. Positive Niño 3.4 SST anomalies are predicted to weaken through 2016. Most models suggest a transition to ENSO-neutral by May-June-July (MJJ) 2016 with the possibility of La Niña conditions during the Northern Hemisphere fall. SST anomaly (Source: SST anomaly (Source: http://www. http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/lanina/enso_evolution-statusfcsts-web.ppt) cpc.ncep.noaa.gov/products/analysis_monitoring/lanina/enso_evolution-statusfcsts-web.ppt)

ENSO Probability forecast extending to mid-2016 (Source : http://iri.columbia.edu/wp-content/uploads/2016/04/figure1.gif) Nino3.4 SST anomaly predictions http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/lanina/enso_evolution -status-fcsts-web.ppt) EVOLUTION OF THE INDIAN OCEAN DIPOLE (IOD) The Indian Ocean Dipole (IOD) is a coupled ocean and atmosphere phenomenon in the equatorial Indian Ocean that affects the climate over the surrounding Indian Ocean basin including GHA (Saji et al., 1999). A positive IOD period is characterized by cooler than normal water in the tropical eastern Indian Ocean and warmer than normal water in the tropical western Indian Ocean. Owiti et al. (2008) observed that ENSO linkages seemed to be stronger when the large positive IOD indices coincided with El Niño events. In general, above or below normal rain-fall conditions are usually observed during the positive or negative IOD events respectively.

The Indian Ocean Dipole (IOD) is currently in neutral phase. The IOD is usually neutral from December to April and therefore is not considered to have much impact on the GHA climate at this time of the year. As we progress into the year where the IOD may influence the regional climate, and coupled with the warm equatorial Indian Ocean sea surface temperatures the influence may be significant. The latest IOD outlooks (initialized in April) all suggest a negative IOD may develop in around July, however, model skill for outlooks that far ahead is generally low. Current IOD level and analogue years (source http://www.icpac.net/wp-content/uploads/2016april_en_bull-.pdf) IOD outlook: (source: http://www.bom.gov.au/climate/modelsummary/archive/20160418.iod_summary_4.png)

REGIONAL CLIMATE PATTERNS JUNE 2015 - FEBRUARY 2016 The northern and southern sector of GHA receives peak rainfall during the northern hemisphere summer and winter months of July- August and December February respectively. The equatorial areas of the GHA generally have two main rainfall peaks centered about March-May and October-December months. However influence of topography and nearness to large water bodies ensures that some parts of the equatorial sector receive rainfall all year round. June-September 2015 rainfall percentage of normal October- December 2015 rainfall percentage of normal December 2015 - February 2016 rainfall percentage of normal

July-September 2015 actual rainfall amounts October- December 2015 actual rainfall amounts December 2015 - February 2016 actual rainfall amounts The July to September season experienced depressed rainfall especially over the northern sector of the GHA where it is the main rainfall. The impact of this was majorly experienced in north and eastern Ethiopia. During the October to December rainfall season below normal rainfall performance was experienced over the north and eastern Ethiopia and eastern Kenya. The December to February season rainfall performance was in the normal to wet conditions especially in the southern sector that receives its peak rainfall within this season.

CLIMATIC OUTLOOK FOR MARCH TO MAY 2016 Greater Horn of Africa Consensus Rainfall Outlook for the March to May 2016 season Zone I: Usually dry during March to May. Zone II: Increased likelihood of near normal to below normal rainfall. Zone III: Increased likelihood of near normal to above normal rainfall. Zone IV: Increased likelihood of near normal to below normal rainfall. Greater Horn of Africa Consensus Mean Temperature Outlook for March to May 2016 season Zone I: Increased likelihood of above normal mean temperatures. Zone II: Increased likelihood of near normal mean temperatures. Zone III: Increased likelihood of above normal mean temperatures. Zone IV: Increased likelihood of near normal to above normal mean temperatures.

CLIMATE OUTLOOK FOR MAY 2016 GHA rainfall outlook for the May 2016 Zone I: Usually dry during March to May. Zone II and IV: Increased likelihood of near normal to below normal rainfall. Zone III: Increased likelihood of near normal to above normal rainfall. GHA mean temperature outlook for the May 2016 Zone I: Increased likelihood of above normal mean temperatures. Zone II: Increased likelihood of near normal mean temperatures tending to above. Zone III and IV: Increased likelihood of near normal to below normal mean temperatures. Note: The numbers for each zone indicate the probabilities of rainfall and mean temperature in each of the three categories, above-, near-, and below-normal. The top number indicates the probability of rainfall and mean temperature occurring in the above-normal category; the middle number is for near-normal and the bottom number for the below-normal category.

References Owiti Z., L. Ogallo, and J. Mutemi, 2008: Linkages between the Indian Ocean Dipole and East African Seasonal Rainfall Anomalies. J.Kenya Meteorol. Soc., 2(1), 3 17 (2008) Saji N.H., Goswami B.N., Vinayachandran P.N., and T.Yamagata, 1999: A dipole mode in the tropical Indian Ocean, Nature, 401, 360-363. WMO, 2014: El-Nino/ Southern Oscillation, Technical paper No. 1145, world meteorological organization. NOAA Climate Prediction Center (NCEP),2016: ENSO: Recent Evolution, Current Status and Predictions. Retrieved on 22 April 2016, http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/lanina/enso_evolution-status-fcsts-web.ppt