Day 2 veena prasad, divecha centre for climate change, india(revised), arrcc-carissa workshop

•

1 like•75 views

ICIMOD

Presentation at ARRCC-CARISSA workshop 29 Jan 2019 to 31 Jan 2019

Science

EFFECT OF HIGH EMISSION
CLIMATE CHANGE SCENARIO
ON GLACIERS IN SATLUJ BASIN
Veena Prasad1, Anil V. Kulkarni1, Pradeep S1, Pratibha S1, Sayli A. Tawde2,
Tejal Shirsat1, Arya A. R1, Andrew Orr3, and Daniel Bannister3
1Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru-560 012,
India.
2Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru-560
012, India.
3British Antarctic Survey, Cambridge, UK

MASS BALANCE
• Mass balance: important to assess the growth or
decline of water stored in a glacier.
• Glaciological method (field estimates) limited to a
few glaciers due to mountainous terrain and logistic
reasons.
• Therefore, other methods such as geodetic and area
accumulation ratio (AAR) have been used to
estimate basin-wide glacier mass balance.
Kulkarni et al, 2004

OBSERVED RETREAT IN
HIMALAYA
(Kulkarni et al., 2017)

ESTIMATION OF GLACIER AREA AND MASS
LOSS
Data used

SEASONAL CYCLE: PRECIPITATION
The seasonal cycle of precipitation (mm d−1) at Kaza station
averaged over the period 1984-2005. The precipitation from the
CRU, APHRODITE and GMFD datasets at the grid point where
Kaza station is located are also shown (Tawde et al., 2017).

CNRM-CM5 and GFDL-CM3
9
8
7
6
5
4
3
2
1
0
Changeinmeantemperaturesince2010(°C)
2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Changeinprecipitationaccumulationsince2010
(mm)
-500
-1000
-1500
1000
500
0
2500
2000
1500
4000
3500
3000
•Provide a good spread of possible future temperatures.
•The CNRM-CM5 model showed one of the largest increases in
precipitation over the Satluj by the end of the century
•The GFDL-CM3 model showed a relatively dry climate to the mid-
century, followed by a wetter climate towards the end of the century.

CHANGE FACTOR CORRECTION
-9
-6
-3
0
3
6
9
-9
-6
-3
0
3
6
9
2030 2050 2070 2090
Snowfall(%)
Temperature(°C)
Snowfall GFDL
Temperature GFDL
0
1
2
3
4
5
jan
feb
mar
apr
may
jun
jul
aug
sep
oct
nov
dec
Precipitation(mm/day)
Month
2003-2013
2045-2055
2085-2095
0
1
2
3
4
jan
feb
mar
apr
may
jun
jul
aug
sep
oct
nov
dec
Precipitation(mm/day)
Month
2003-2013
2045-2055
2085-2095
Change factor methodology
Model precipitation&
temperature anomaly
In-situ precipitation
& temperature
Future precipitation and
temperature
KAZA RACKCHAM
SEASONAL CYCLE: WINTER PRECIPITATION

What's hot

Climate change is a change in the statistical properties of the climate system when considered over long periods of time. It significantly affects the various components of hydrological cycle like temperature, precipitation, evapotranspiration and infiltration. All these components together affect the rate of groundwater recharge. So understanding the effects of climate change on groundwater recharge is the need of time for the management of groundwater resources. This paper presents the data preparation initiatives and a suitable methodology that can be used to characterize the effect of climate change on groundwater recharge. The method is based on the hydrologic model Visual HELP which can be used to estimate potential groundwater recharge at the regional scale. The success of Modeling depends on the accuracy of data and the mode of collecting the data. Therefore, identifying the data needs of a particular modeling study, collection/monitoring of required data and preparation of data set form an integral part of any groundwater modeling exercise. The main objective of this paper is to describe the exact data required and its preparation to simulate the groundwater recharge using HELP Model Software for Yavatmal as a study area situated in Maharashtra state, India. The impact of climate change as a pilot study is modeled by using computer software HELP (Hydrologic Evaluation of Landfill Performance). The initiatives for data preparation presented herein may be useful to the researchers in this field.

Data Preparation for Assessing Impact of Climate Change on Groundwater Recharge

AM Publications

Wise Sess11 102509

SAME 2009 California Water Conference

Nepal does not have own climate projection model. Therefore, climate change studies in Nepal completely depend on the results of available model throughout the world. Many field based studies have proven that Nepal is the most vulnerable country in the context of climate change due to limited capacity to adapt to it. On the other hand, it is a big challenge to natural scientists to demonstrate climate change physically because of limited resources. Due to the complex geography of Nepal, most of the global climate projections are not able to capture the temporal and spatial climatic variability. In consideration to this problem, the Department of Hydrology and Meteorology (DHM) of Nepal has initiated a project to downscale climatic parameters regionally with technical support from the Asian Disaster Preparedness Centre (ADPC) under the financial support of Asian Development Bank (ADB). They used three different Regional Climate Models (RCM); PRECIS, RegCM4, and WRF under AR4 scenarios. However, there is still a lot of discrepancy among these projections which have created confusion among the stakeholders. Therefore, the objective of my presentation will be to focus on the discussion over these issues among the climate experts at UNBC.

Uncertainty in Climate Change Projections: Results from Different GCMs/RCMs i...

International Water Management Institute (IWMI)

snow runoff model

kailash patel

July 29-350-James Burke

Soil and Water Conservation Society

Mekonnen adnew

ClimDev15

2190831_Poster

Elena Field

Assessment of climate change impact on water availability of bilate watershed...

Alexander Decker

Arctic sea ice - use of observational data

tracyrogers84

Greetings all, This month’s newsletter is devoted to ocean indices aiming at a better understanding of the state of the ocean climate. Ocean climate indices can be linked to major patterns of climate variability and usually have a significant social impact. The estimation of the ocean climate indices along with their uncertainty is thus crucial: It gives an indication of our ability to measure the ocean. It is as well a useful tool for decision making. Ocean climate indices also provide an at-a-glance overview of the state of the ocean climate, and a way to talk to a wider audience about the ocean observing system. Several groups of experts are now working on various ocean indicators using ocean forecast models, satellite data and reanalysis models in observing system simulation experiments, among which the OOPC, NOAA and MERSEA/Boss4Gmes communities for example: http://ioc3.unesco.org/oopc/state_of_the_ocean/index.php http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ http://www.aoml.noaa.gov/phod/cyclone/data/method.html http://www.mersea.eu.org/Indicators-with-B4G.html Scientific articles about Ocean indices in the present Newsletter are displayed as follows: The first article by Von Schuckmann et al. is dealing with the estimation of global ocean indicators from a gridded hydrographic field. Then, Crosnier et al. are describing the need to conduct intercomparison of model analyses and forecast in order for experts to provide a reliable scientific expertise on ocean climate indicators. The next article by Coppini et al. is telling us about ocean indices computed from the Mediterranean Forecasting System for the European Environment Agency and Boss4Gmes. Then Buarque et al. are revisiting the Tropical Cyclone Heat Potential Index in order to better represent the ocean heat content that interacts with Hurricane. The last article by Greiner et al. is dealing with the assessment of robust ocean indicators and gives an example with oceanic predictors for the Sahel precipitations. The next July 2009 newsletter will review the current work on data assimilation and its techniques and progress for operational oceanography. We wish you a pleasant reading.

Mercator Ocean newsletter 33

Mercator Ocean International

Application of Satellite Geodesy in Environmental and Climate Changes

Alok Verma

Climate and climate modelling

International Water Management Institute (IWMI)

Measuring Ice Mass Loss from Melting Ice Sheets

Christopher Harig

La foresta amazónica y el cambio climático - Philip Fearnside

Instituto Humboldt

Exploring_GIS_in_Glaciology

COGS Presentations

Glacier changes and climate trends derived from multiple sources in the data ...

InfoAndina CONDESAN

GreenlandProject

Andrew J. Hillier

3.10 IUKWC Workshop Freshwater EO - Rajib Chattopadhyay - Jun17

India UK Water Centre (IUKWC)

Simulation Tool for GNSS Ocean Surface Reflections

Tibor Durgonics

Meridional brightness temperatures were measured on the surface of Titan during the 2004–2014 portion of the Cassini mission by the Composite Infrared Spectrometer. Temperatures mapped from pole to pole during five twoyear periods show a marked seasonal dependence. The surface temperature near the south pole over this time decreased by 2 K from 91.7±0.3 to 89.7±0.5 K while at the north pole the temperature increased by 1 K from 90.7±0.5 to 91.5±0.2 K. The latitude of maximum temperature moved from 19 S to 16 N, tracking the subsolar latitude. As the latitude changed, the maximum temperature remained constant at 93.65±0.15 K. In 2010 our temperatures repeated the north–south symmetry seen by Voyager one Titan year earlier in 1980. Early in the mission, temperatures at all latitudes had agreed with GCM predictions, but by 2014 temperatures in the north were lower than modeled by 1 K. The temperature rise in the north may be delayed by cooling of sea surfaces and moist ground brought on by seasonal methane precipitation and evaporation.

Surface temperatures on_titan_during_northern_winter_and_spring

Sérgio Sacani

What's hot (20)

Data Preparation for Assessing Impact of Climate Change on Groundwater Recharge

Wise Sess11 102509

Uncertainty in Climate Change Projections: Results from Different GCMs/RCMs i...

snow runoff model

July 29-350-James Burke

Mekonnen adnew

2190831_Poster

Assessment of climate change impact on water availability of bilate watershed...

Arctic sea ice - use of observational data

Mercator Ocean newsletter 33

Application of Satellite Geodesy in Environmental and Climate Changes

Climate and climate modelling

Measuring Ice Mass Loss from Melting Ice Sheets

La foresta amazónica y el cambio climático - Philip Fearnside

Exploring_GIS_in_Glaciology

Glacier changes and climate trends derived from multiple sources in the data ...

GreenlandProject

3.10 IUKWC Workshop Freshwater EO - Rajib Chattopadhyay - Jun17

Simulation Tool for GNSS Ocean Surface Reflections

Surface temperatures on_titan_during_northern_winter_and_spring

Similar to Day 2 veena prasad, divecha centre for climate change, india(revised), arrcc-carissa workshop

Gaddam et al-2017-journal_of_earth_system_science (1)

Vinay G

Role of Different Moisture Sources in Driving the Western Himalayan Past-glacier Advances Relationship and Variability of Atmospheric Precipitation Characteristics in the North-West of Ukraine Variation of Dynamical Parameters with Upper Tropospheric Potential Vorticity in Tropical Cyclone over the North Indian Ocean Using WRF Model Air Pollution Risk Assessment Using GIS and Remotely Sensed Data in Kirkuk City, Iraq

Journal of Atmospheric Science Research Vol 6 No 3 July 2023.pdf

Bilingual Publishing Group

IJG_2015042114464831

Purnesh jani

Biogeochemical underpinnings and associated processes in coastal mangrove for...

CIFOR-ICRAF

4_IGARSS11-Zhou.ppt

grssieee

CLIMATE CHANGE IMPACT ASSESSMENT ON MELTING GLACIERS USING RS & GIS

Abhiram Kanigolla

Greening of the Arctic: Climate change and circumpolar Arctic vegetation

Edie Barbour

Arpita water quality assessment

Abhijit Mitra

1009 2010 previous

Angad Yadav

Ijetr042178

Engineering Research Publication

Lulc dynamics

patelamit355

Bot deptlecture20110310(1)

Edie Barbour

Poster Presentations

Lyon T. Muswere

Factors responsible for glacier changes in the Himalayas

Pawan Singh

Agustin Brena

A1 Renewability Assessment of the Reykjanes Geothermal System Gudni Axelsson

GEORG Geothermal Workshop 2016

final dissertation report

Luis Duprat

MARS3012Report2_42853288_GregForster

Greg Forster

Qurat ul ain ahmad

ClimDev15

The glacier study is important in the sense that it has a very direct relation with climate change. Any change in the climate can be read through glacier response. A number of Himalayan glaciers are reported to be shrinking. The retreat of Chipa glacier and Jhulang glacier in Dhauliganga valley was studied by interpreting time series optical satellite images obtained from Landsat, ASTER and IRS LISS III sensors. The change of terminus position was measured and retreat was monitored with respect to the terminus position in a topographical map (1:50,000) of 1962. The satellite data of 1989 and from 2000 to 2004 and 2012 were used for monitoring the retreat of the glacier and the result was compared with the field measured values.

STUDY OF RECESSIONAL PATTERN OF GLACIERS OF DHAULIGANGA VALLEY, UTTRAKHAND, I...

IJESM JOURNAL

Similar to Day 2 veena prasad, divecha centre for climate change, india(revised), arrcc-carissa workshop (20)

Gaddam et al-2017-journal_of_earth_system_science (1)

Journal of Atmospheric Science Research Vol 6 No 3 July 2023.pdf

IJG_2015042114464831

Biogeochemical underpinnings and associated processes in coastal mangrove for...

4_IGARSS11-Zhou.ppt

CLIMATE CHANGE IMPACT ASSESSMENT ON MELTING GLACIERS USING RS & GIS

Greening of the Arctic: Climate change and circumpolar Arctic vegetation

Arpita water quality assessment

1009 2010 previous

Ijetr042178

Lulc dynamics

Bot deptlecture20110310(1)

Poster Presentations

Factors responsible for glacier changes in the Himalayas

A1 Renewability Assessment of the Reykjanes Geothermal System Gudni Axelsson

final dissertation report

MARS3012Report2_42853288_GregForster

Qurat ul ain ahmad

STUDY OF RECESSIONAL PATTERN OF GLACIERS OF DHAULIGANGA VALLEY, UTTRAKHAND, I...

More from ICIMOD

This presentation is the part of 12-day (28 January–8 February 2019) training workshop on “Multi-scale Integrated River Basin Management (IRBM) from the Hindu Kush Himalayan Perspective” organized by the Strengthening Water Resources Management in Afghanistan (SWaRMA) Initiative of the International Centre for Integrated Mountain Development (ICIMOD), and targeted at participants from Afghanistan.

SWaRMA_IRBM_Module8_#1, Knowledge management and communication, Laurie et al

ICIMOD

SWaRMA_IRBM_Module6_#6, Godavari visit to observe IWRM technologies, Samden ...

ICIMOD

SWaRMA_IRBM_Module6_#5, Sediment management at Afghanistan, Abdul A. Zazay

ICIMOD

SWaRMA_IRBM_Module6_#4, Sediment management including landslide and river ban...

ICIMOD

SWaRMA_IRBM_Module6_#3, Groundwater and springshed management, Madhav Dhakal ...

ICIMOD

SWaRMA_IRBM_Module6_#2, Improved watershed management, Sanjeev Bhuchar and Ho...

ICIMOD

SWaRMA_IRBM_Module6_#2, Integrated flood management: concepts, Mandira Shrest...

ICIMOD

SWaRMA_IRBM_Module6_#1, GLOF Risk Reduction, Finu Shrestha et al

ICIMOD

SWaRMA_IRBM_Module5_#5, Water diplomacy and cooperation in Afghanistan, Sadia...

ICIMOD

SWARMA_IRBM_Module5_#4, Why riparian countries should cooperate in transbound...

ICIMOD

SWaRMA_IRBM_Module5_#3, Transboundary cooperation in HKH basins:overview of i...

ICIMOD

SWaRMA_IRBM_Module5_#2, Key principles of international water law, Ram Babu D...

ICIMOD

SWaRMA_IRBM_Module5_#1, Water diplomacy and regional cooperation, Anjal Praka...

ICIMOD

SWaRMA_IRBM_Module4_#1, Governance, Policy and institutional framework, Arabi...

ICIMOD

SWaRMA_IRBM_Module3_#1, Gendered vulnerabilities and the socioeconomic driver...

ICIMOD

SWaRMA_IRBM_Module2_#8, Scenario planning in IRBM, Shahriar Wahid

ICIMOD

SWaRMA_IRBM_Module2_#7, Basin planning experience from Australia, Andrew Joh...

ICIMOD

SWaRMA_IRBM_Module2_#6, Flood management in Nepal, Dilip Gautam

ICIMOD

SWaRMA_IRBM_Module2_#5, Role of hydrometeorological monitoring for IRBM in Ne...

ICIMOD

SWaRMA_IRBM_Module2_#4, Water ecosystem interaction, Susan Cuddy

ICIMOD

More from ICIMOD (20)