The 2006 Rainy Season over the GOURMA meso-site (Mali)

Similar documents
Eric Mougin & Josiane Seghieri CESBIO. TT members : 20 european teams 6 malian institutions

Multi-scale soil moisture measurements at the Gourma meso-scale site in Mali

VALERI-2001 CAMPAIGN IN GOURMA (MALI)

CONTRIBUTION OF METOP ASCAT DATA FOR LAND SURFACE PARAMETERS MONITORING OVER THE SAHEL

Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

Climate Change and Arizona s Rangelands: Management Challenges and Opportunities

TREE WATER USE PATTERNS ARE MAINLY DRIVEN BY ENVIRONMENTAL VARIABLES AND TREE STRUCTURAL PARAMETERS IN HUMID TEMPERATE DECIDUOUS HARDWOOD FORESTS

Analysis of meteorological measurements made over three rainy seasons in Sinazongwe District, Zambia.

Variability of Reference Evapotranspiration Across Nebraska

Flux Tower Data Quality Analysis in the North American Monsoon Region

Status report on the La Plata Basin (LPB) - A CLIVAR/GEWEX Continental Scale Experiment

Journal of Hydrology

Seasonal and interannual relations between precipitation, soil moisture and vegetation in the North American monsoon region

Jackson County 2013 Weather Data

Land surface-atmosphere interactions and EOS validation in African savanna ecosystems

Stress Deciduous Phenology in the CLM

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

PREDICTING SOIL SUCTION PROFILES USING PREVAILING WEATHER

The African Monsoon Multidisciplinary Analyses (AMMA) Land surface Model Intercomparison Project Phase 2 (ALMIP2)

Analysis of Historical Pattern of Rainfall in the Western Region of Bangladesh

Geostatistical Analysis of Rainfall Temperature and Evaporation Data of Owerri for Ten Years

INFLUENCE OF LARGE-SCALE ATMOSPHERIC MOISTURE FLUXES ON THE INTERANNUAL TO MULTIDECADAL RAINFALL VARIABILITY OF THE WEST AFRICAN MONSOON

METRIC tm. Mapping Evapotranspiration at high Resolution with Internalized Calibration. Shifa Dinesh

Minnesota s Climatic Conditions, Outlook, and Impacts on Agriculture. Today. 1. The weather and climate of 2017 to date

A R C T E X Results of the Arctic Turbulence Experiments Long-term Monitoring of Heat Fluxes at a high Arctic Permafrost Site in Svalbard

Inter-linkage case study in Pakistan

Table of Contents. Page

Presentation Overview. Southwestern Climate: Past, present and future. Global Energy Balance. What is climate?

GEOG415 Mid-term Exam 110 minute February 27, 2003

Coupling of Diurnal Climate to Clouds, Land-use and Snow

Evaluation of a New Land Surface Model for JMA-GSM

+ Validation of a simplified land surface model and

Flux Tower Data Quality Analysis. Dea Doklestic

Rainfall regime over the Sahelian climate gradient in the Gourma region, Mali

DANO, Burkina Faso. Instruments Data set Status Highlights. Norbert Kalthoff and Juliane Schwendike. Institut für Meteorologie und Klimaforschung

EUMETSAT LSA-SAF EVAPOTRANSPIRATION PRODUCTS STATUS AND PERSPECTIVES

Soil Water Atmosphere Plant (SWAP) Model: I. INTRODUCTION AND THEORETICAL BACKGROUND

The Colorado Drought : 2003: A Growing Concern. Roger Pielke, Sr. Colorado Climate Center.

Boundary layer equilibrium [2005] over tropical oceans

2015 Fall Conditions Report

CLIMATOLOGICAL REPORT 2002

HAIDA GWAII CLIMATE ASSESSMENT 2010 Special Report for MIEDS Franc Pridoehl

CHAPTER-11 CLIMATE AND RAINFALL

5. General Circulation Models

2011 National Seasonal Assessment Workshop for the Eastern, Southern, & Southwest Geographic Areas

UWM Field Station meteorological data

Technical Note: Hydrology of the Lukanga Swamp, Zambia

Technical Note: Hydrology of the Lake Chilwa wetland, Malawi

Extreme Weather and Climate Change: the big picture Alan K. Betts Atmospheric Research Pittsford, VT NESC, Saratoga, NY

The role of soil moisture in influencing climate and terrestrial ecosystem processes

Studying 2006 dry and 2007 wet events using surface observations and NCEP Reanalysis

Implementation of the NCEP operational GLDAS for the CFS land initialization

Soil Moisture Prediction and Assimilation

Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS)

Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center

Lecture notes: Interception and evapotranspiration

Memo. I. Executive Summary. II. ALERT Data Source. III. General System-Wide Reporting Summary. Date: January 26, 2009 To: From: Subject:

Study of Intra Annual and Intra Seasonal Variations of Indian Summer Monsoon during ARMEX Period

Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region

Mapping Evapotranspiration and Drought at Local to Continental Scales Using Thermal Remote Sensing

Land-cloud-climate Coupling on the Canadian Prairies

P7: Limiting Factors in Ecosystems

over the next three weeks could lower this estimate significantly. Near perfect conditions are needed to realize this projected yield.

Assimilation of satellite derived soil moisture for weather forecasting

Climate Variability in South Asia

Study of Hydrometeorology in a Hard Rock Terrain, Kadirischist Belt Area, Anantapur District, Andhra Pradesh

Working Group Initiation of Convection

Volume XIV, Number 1 January 6, 2014

Vermont Soil Climate Analysis Network (SCAN) sites at Lye Brook and Mount Mansfield

Observations of Diurnal Cycles Over a West African Meridional Transect: Pre-Monsoon and Full-Monsoon Seasons

Lecture 3A: Interception

American International Journal of Research in Science, Technology, Engineering & Mathematics

What makes it difficult to predict extreme climate events in the long time scales?

OVERVIEW OF IMPROVED USE OF RS INDICATORS AT INAM. Domingos Mosquito Patricio

Verification of the Seasonal Forecast for the 2005/06 Winter

Snow-atmosphere interactions at Dome C, Antarctica

Summary of the World s Major Terrestrial Biomes

Climate Variability and Malaria over the Sahel Country of Senegal

2008 Growing Season. Niagara Region

An Online Platform for Sustainable Water Management for Ontario Sod Producers

Outline: 1) Extremes were triggered by anomalous synoptic patterns 2) Cloud-Radiation-PWV positive feedback on 2007 low SIE

What is happening to the Jamaican climate?

Promoting Rainwater Harvesting in Caribbean Small Island Developing States Water Availability Mapping for Grenada Preliminary findings

Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations

Three main areas of work:

Communicating Climate Change Consequences for Land Use

Will a warmer world change Queensland s rainfall?

West and East Africa The 2014 Rainfall Season

Country Presentation-Nepal

The Colorado Drought of 2002 in Perspective

Local Climate Baseline. 9A.1 Introduction

Water Year Day 2010

Where does precipitation water come from?

The 2010/11 drought in the Horn of Africa: Monitoring and forecasts using ECMWF products

How can flux-tower nets improve weather forecast and climate models?

The West African Monsoon and its socio-economical impacts

Weekly Rainfall Analysis and Markov Chain Model Probability of Dry and Wet Weeks at Varanasi in Uttar Pradesh

Alan K. Betts

Validation of the Weather Generator CLIGEN with Precipitation Data from Uganda. W. J. Elliot C. D. Arnold 1

Chapter 2 Agro-meteorological Observatory

Transcription:

SOP Meeting, Toulouse, Nov. 2006 Instruments and data sets, Status & Highlights The 2006 Rainy Season over the GOURMA meso-site (Mali) E. Mougin, M. Arjounin, F. Baup, E. Ceschia, L. Diarra, V. Demarez P. derosnay, S. Guibert, C. Gruhier, F. Guichard, P. Hiernaux, M. Koité F. Lavenu, L. Kergoat, V. LeDantec, T.M. Mabilo, S. Mangiarotti M.N. Mulhaupt, O. Samain, J. Seghieri, N. Soumaguel, F. Timouk Photo: Doug Parker

GOURMA - 2006 Instruments and Data Sets

Gourma 2006: Status of Instruments, Rainfall stations Ekia (16.0 N) Bilantao (15.3 N) Nessouma (15.3 N) EVOLUTION OF RAIN GAUGES. MESO-SCALE. 30 28 25 20 20 Total = 28 stations 15 10 7 9 13 NATIONAL MANUAL CRX10 PLUVIO 91 5 Status Description Automatic raingauges 11 Automatic Stations 0 2002 2003 2004 2005 2006 2002 2003 2004 2005 2006 2005 2006 Start Location 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 Date Nessouma 2004 Bilantao 2004 Kelma 2006 Kirnya 2005 Kobou 2005 Bangui Mallam 2005 Ekia 2005 Tin tadeini 2005 In Zaket 2006 Agoufou mid slope 2002 Agoufou (down slope) 2005 Data capture : 95%

Gourma 2006: Status of Instruments, Meteorological stations Agoufou (15.3 N, 1.5 W) Bamba (17.1 N, 1.3 W) Status Description Automatic Weather stations 2005 2006 Start Location 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 Date Agoufou 2002 Bamba 2004 Data capture : 95%

Gourma 2006: Status of Instruments, SM stations Meso-scale Network Soil Moisture Station In Zaket 16.6 N Depth: 5cm 2.50m 2005 2006 Start Description Location 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 Date Automatic soil moisture Agoufou Upslope 2005 Agoufou mid slope 2006 Agoufou down slope 2005 Agoufou (sapflow) 2005 Bangui Mallam 2005 Kelma (lowland) 2005 Ekia 2005 In Zaket 2005 Bamba 2004 9 stations + 4 (Flux) Data capture: 94%

Gourma 2006: Status of Instruments, Flux stations Agoufou (15.3 N) Eguerit (15.5 N) Bamba (17.1 N) Kelma (15.2 N) Description Network of 4 flux stations 2 Sensible Heat 2 Sensible Heat CO 2 H 2 O Automatic Weather Stations CEH Status 2005 2006 Start Location 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 Date Bamba (HF)? 2005 Agoufou (CO2+HO2) H only H only 2005 Kelma (C02+HO2) H only 2005 Eguerit (HF) 2005 Bamba???????? 2005 Agoufou 2005 Kelma 2005 Eguerit 2005 Flux-2006: H only ( 50%) Met-2006: ( 20 to 40%)

Gourma 2006: Status of Instruments, Sapflow station (Agoufou) Sampled evergreen and deciduous trees January 2006 Sap flow measures provide an estimation of transpiration from trees Heated probe Reference probe 1- Combretum glutinosum 2- Balanites aegyptiacum 3- Acacia raddiana 4- Acacia senegalensis 2005 2006 Start Description location 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 Date Sap flow station Agoufou 2006 Acacia senegal 320 Agoufou " Acacia senegal 317 (dead) Agoufou " Acacia raddiana 318 Agoufou " Balanites aegyptiaca 316 Agoufou " Combretum glutinosum 315 Agoufou " Data capture: 98%

GOURMA 2006 Highlights

Gourma 2006: Rainfall LONG TERM VARIABILITY HOMBORI (15.3 N) 400 1950 ANOMALY (mm) 300 200 100 0-100 -200-300 1940 1970 1984 1994 2006 YEARS Long Term mean : 374 mm Hombori - 2006 : 370 mm

Gourma 2006: Rainfall Period 1950-1990 2005 2006 Seasons 440 mm 305 mm Late starting Observations 2006: 1. Late starting, but normal (Hombori) to exceeding rain (Agoufou) 2. High intra-seasonal variability (2006 / 2005)

Gourma 2006: Total Rainfall Gourma meso-site Strong North-South gradient : 2 mm/km 7.5 Hombori super-site 15.5 BAMBA (mm) 17 OURMA-RHAROUS 6.5 TINT 16 HEKYA 5.5 DIMA AGOUFOU HOMBORI KYNIA 15 480 460 440 420 400 380 360 340 320 300 280 260 240 220 200 180 160 140 120 100 15.45 15.4 15.35 15.3 15.25 15.2 15.15 15.1 15.05 NESS HOMBORI DARA KILM GOUN SEBA TARA BILA KELM DARI DOUN AGOUFOU EBAN (mm) 500 490 480 470 460 450 440 430 420 410 400 390 380 370 360 350 340 330 320 310 300 290 KOBOU 15-1.8-1.75-1.7-1.65-1.6-1.55-1.5-1.45-1.4-1.35-1.3 4.5-2 -1.5-1 High local variability : 60%

Gourma 2006: Soil moisture AMSR Supersite Averaged Soil Moisture Product August 8 Sept. 17

Gourma 2006: Surface Radiative Budget Net radiation = LW -LW + SW -SW Agoufou 2006 Rainy season: Strong increase after mid-july 2006 Period 2002-2005 High interannual variability with stronger increase of Rnet for wet years (2003, 2005) compared to dry years (2002, 2004) 2005 2004 Jul Aug Wet Year Dry Year

Gourma 2006: Surface Radiative Budget Albedo = SW / SW Jul Aug Agoufou 2006 Rainy season: Strong decrease after mid-july 2006 Period 2002-2005 High interannual variability with stronger decrease for wet years (2003, 2005) compared to dry years (2002, 2004) 2005 Jun Jul Aug Wet Year Dry Year 2004

Gourma 2006: Tethered Balloon in the CBL Convective Boundary Layer growth August 19 9h 17h Virtual potential Temperature (θv) vs pressure CBL rather low, following significant rainfall over a well vegetated area. Data capture: August 12-31

Gourma 2006: Seasonal change of vegetation, Hombori JULY -2006: desperately seeking green vegetation Super-site overflight Hombori: July 28, 2006 Field survey Hombori: July 17, 2006

Gourma 2006: Interannual change of vegetation, Agoufou GRASSLAND 2005 2006 Soil Moisture June 06 May 29 July 17 LAI July 15 August 19 DOY August 20

Gourma 2006: Interannual change of vegetation, Kelma 2005 2006 ACACIA FOREST August 02 LAI July 24 August 30 August 21 DOY September 19 September 20

Gourma 2006: Surface fluxes, Kelma 1 m 3 /m 3 Rain Soil moisture mm 20 Acacia Forest site 0,9 0,8 Rain Soil Water content -50 cm 18 16 0,7 Soil Water content -10 cm 14 0,6 12 0,5 10 0,4 8 0,3 6 0,2 4 0,1 2 0 10-Jul 15-Jul 20-Jul 25-Jul 30-Jul 4-Aug 9-Aug 0 900 800 700 600 500 400 300 200 100 0-100 W/ m² Sensible Heat Fluxes Net Radiation ma x Flooded Sensible Heat Flux 10-Jul 15-Jul 20-Jul 25-Jul 30-Jul 4-Aug 9-Aug

Gourma 2005: Inter-sites variation, H fluxes 800 700 W/m² Grassland 600 Rnet max 500 400 Sensible Heat Flux 300 200 100 0-100 1-juin 11-juin 21-juin 1-juil. 11-juil. 21-juil. 31-juil. 10-août 20-août 30-août Erosion surface

Gourma 2006: Sapflow fluxes from trees, Agoufou Seasonal variation 2006 0.30 flux de s eve HV (-5cm) 40 Flux (mv) 0.25 0.20 0.15 35 30 25 TDR (mv) Strong seasonal variation dependent on leaf phenology and Soil Moisture Content in the root zone 0.10 0.05 0.00 Soil Moisture 110 130 150 170 190 210 230 20 15 Daily variation jours 0.25 Water stress 120 232 174 0.20 Strong daily variation dependent on SWC flux (mv) 0.15 0.10 0.05 No Water stress 0.00 7h 17h 100 300 500 700 900 1100 1300 1500 1700 1900 2100 2300 heure

Gourma 2006: Summary Rainy season Late starting, followed by heavy rains from mid-july to mid-august (60% of total rainfall) and finally normal to exceeding total rainfall Surface Radiative properties (Net radiation): typical of wet year (2005, 2003) Late starting of vegetation (trees and herbs) but fast growth and finally a total cover close to that observed in 2005 (even better for trees) Instruments and Data Sets Operational network : Data collection >95% (rainfall, soil moisture, vegetation) Flux stations : 50%, complemented by sap flow measurements on trees.