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Hydro-meteorological
inputs for hydrological
studies
Sharad K. Jain
National Institute of Hydrology
Roorkee
s_k_jain@yahoo.com
IITM Pune, 29 Nov 2016
Major Uses of Hydromet Data
Hydrologic modelling and Water
Resources Assessment,
Improve understanding of hydrologic
processes
Management of Hydrologic
extremes:
Flood and drought forecasts
Warning of cloudbursts
Trend analysis and study impacts of
climate change.
Assessment of Environmental water
Data required to simulate/forecast
hydrologic response of catchments:
• Precipitation at short space and time
intervals,
• Precipitation variability with altitude,
• Temperature and lapse rates at various
locations,
• Other meteorological data such as
radiation, wind speed, humidity …
Hydromet Data for Hydrologic
Modeling
Hydrologic Modeling of Upper Ganga
Basin
Hydrologic Modeling by using SWAT
Model
• Limitations of current hydromet data
availability:
• Sparse network in mountains where RF
variation is high; rare to find stations
above 1000 m altitude,
• Observation network of variables such as
ET/soil moisture is poor,
• Data needed for glacier mass balance
and melt estimation are missing,
• Strengthen networks; generate data on finer
temporal/spatial scales by merging satellite
and ground based observations.
Hydrologic Modeling in Mountains
Flood Prone Area
(40 mha, 32, 15.8)
Flood Management
At least one major SEVERE flood event
each year – Mumbai floods, Indus floods,
Kedarnath Disaster, Jhelum Floods,
Chennai Floods, 2016 floods,
Flood prone area map needs review with
meteorological inputs,
Medium and short-term rainfall forecasts
are needed for flood forecasting,
Set up flood forecast and early warning
systems in flood prone areas.
Trend analysis and
climate change
Cauvery Basin: Number of rainy days with
rainfall intensity > 20, 30, 40, and 50 mm/day
Number of
rainy days
having
rainfall
intensity of
20, 30, 40,
and 50
mm/day or
more for
Mahanadi
Basin
1950 1962 1974 1986 1998 2010
0
4
8
12
16
20
24
1950 1962 1974 1986 1998 2010
0
4
8
12
16
20
1950 1962 1974 1986 1998 2010
0
2
4
6
8
10
1950 1962 1974 1986 1998 2010
0
2
4
6
Numberofrainydays
Rainfall (20 mm/day)
Numberofrainydays
Rainfall (30 mm/day)
Numberofrainydays
Rainfall (40 mm/day)
Numberofrainydays
Rainfall (50 mm/day)
Number of
rainy days
for
different
years for
different
basins in
India.
1950 1962 1974 1986 1998 2010
75
90
105
120
135
1950 1962 1974 1986 1998 2010
135
150
165
180
195
210
1950 1962 1974 1986 1998 2010
160
180
200
220
240
260
1950 1962 1974 1986 1998 2010
200
220
240
260
280
1950 1962 1974 1986 1998 2010
140
160
180
200
220
240
260
1950 1962 1974 1986 1998 2010
180
200
220
240
260
280
1950 1962 1974 1986 1998 2010
140
160
180
200
220
Numberofrainy
Sabarmati
Numberofrainydays
Narmada
Numberofrainydays
Mahanadi
Numberofrainydays
Krishna
Numberofrainydays
Cauvery
Numberofrainydays
Godavari
Numberofrainydays
Year of from 1951 to 2012
Brahmani and Baitarni
change
Rainfall data at short time intervals are
needed to determine trends in intensities.
ASSESSMENT OF E-FLOWS FOR UPPER
GANGA BASIN
ASSESSMENT OF E-FLOWS FOR UPPER
GANGA BASIN
G&D Sites Depth
(m)
Velocity
(m/s)
Discharge
(cumecs)
D V Q
Alaknanda (Joshimath) 0.25 0.87 5.98
Alaknanda (Rudraprayag) 0.50 2.06 29.20
Bhagirathi (Uttarkashi) 0.50 1.99 7.98
Bhagirathi (Tehri) 0.50 1.73 41.96
Ganga (Devprayag) 0.50 0.88 18.25
Ganga (Rishikesh) 0.50 2.08 43.88
Min flow requirements in
lean period (Nov-May)
Min flow requirements in
lean period (Nov-May)
Min flow requirements in
spawning period (June-Oct)
Min flow requirements in
spawning period (June-Oct)
Depth
(m)
Velocity
(m/s)
Discharge
(cumecs)
D V Q
1.00 1.75 51.25
1.00 3.12 41.36
1.00 2.70 131.45
1.00 3.11 89.49
1.00 4.55 136.40
1.00 1.75 51.25
14
NIH
Experimental
Catchments in
Lesser
Himalayas
NIH Experimental Catchments in Lesser
Himalayas
Objectives
•Run experimental catchments for better understanding of
hydrological processes in lesser Himalayas.
•Field estimation of ET by flux tower and comparison with
methods such as RS/SEBAL, FAO56 method.
•To establish relationship between climatic and hydrologic
variables and seasonal variations in Himalayan
environment.
•To improve understanding of hydrological processes
through isotope geochemistry.
•To study the ground water dynamics in lesser Himalayan
watershed.
Advanced instruments being installed
•Flux tower
•COSMOS
IUKWC Workshop Nov16: Developing Hydro-climatic Services for Water Security – Session 1 – Item 2 - SK_Jain
LULC of Henval Basin
S. no. Class Name Area (%)
1 Agriculture 12.44
2 Fallow land 10.27
3 Openforest 26.23
4 Denseforest 51.06
LULC of Jijli Basin
S. no. Class Name Area (%)
1 Agriculture 4.95
2 Fallow land 3.29
3 Openforest 27.61
4 Denseforest 64.14
AWS (+ Proposed Flux Tower) site in Henval Catchment
Variation of soil temperature at different depths
SOIL TEMPERATURE AT DIFFERENT DEPTHSSOIL TEMPERATURE AT DIFFERENT DEPTHS
Diurnal variation in the Soil Temp. at different depths
• Is the precipitation intensity changing with
time. If yes, where and attributions ?
• Changes in ET, Relative Humidity ??
• What are the uncertainties in observed
estimates ?
• What are the impacts on components of the
hydrologic cycle at various scales ?
• More research and observations are required
to understand occurrence of cloudburst
events and their prediction.
Topics Requiring Attention
Thanks

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IUKWC Workshop Nov16: Developing Hydro-climatic Services for Water Security – Session 1 – Item 2 - SK_Jain

  • 1. Hydro-meteorological inputs for hydrological studies Sharad K. Jain National Institute of Hydrology Roorkee s_k_jain@yahoo.com IITM Pune, 29 Nov 2016
  • 2. Major Uses of Hydromet Data Hydrologic modelling and Water Resources Assessment, Improve understanding of hydrologic processes Management of Hydrologic extremes: Flood and drought forecasts Warning of cloudbursts Trend analysis and study impacts of climate change. Assessment of Environmental water
  • 3. Data required to simulate/forecast hydrologic response of catchments: • Precipitation at short space and time intervals, • Precipitation variability with altitude, • Temperature and lapse rates at various locations, • Other meteorological data such as radiation, wind speed, humidity … Hydromet Data for Hydrologic Modeling
  • 4. Hydrologic Modeling of Upper Ganga Basin
  • 5. Hydrologic Modeling by using SWAT Model
  • 6. • Limitations of current hydromet data availability: • Sparse network in mountains where RF variation is high; rare to find stations above 1000 m altitude, • Observation network of variables such as ET/soil moisture is poor, • Data needed for glacier mass balance and melt estimation are missing, • Strengthen networks; generate data on finer temporal/spatial scales by merging satellite and ground based observations. Hydrologic Modeling in Mountains
  • 7. Flood Prone Area (40 mha, 32, 15.8)
  • 8. Flood Management At least one major SEVERE flood event each year – Mumbai floods, Indus floods, Kedarnath Disaster, Jhelum Floods, Chennai Floods, 2016 floods, Flood prone area map needs review with meteorological inputs, Medium and short-term rainfall forecasts are needed for flood forecasting, Set up flood forecast and early warning systems in flood prone areas.
  • 10. Cauvery Basin: Number of rainy days with rainfall intensity > 20, 30, 40, and 50 mm/day
  • 11. Number of rainy days having rainfall intensity of 20, 30, 40, and 50 mm/day or more for Mahanadi Basin 1950 1962 1974 1986 1998 2010 0 4 8 12 16 20 24 1950 1962 1974 1986 1998 2010 0 4 8 12 16 20 1950 1962 1974 1986 1998 2010 0 2 4 6 8 10 1950 1962 1974 1986 1998 2010 0 2 4 6 Numberofrainydays Rainfall (20 mm/day) Numberofrainydays Rainfall (30 mm/day) Numberofrainydays Rainfall (40 mm/day) Numberofrainydays Rainfall (50 mm/day)
  • 12. Number of rainy days for different years for different basins in India. 1950 1962 1974 1986 1998 2010 75 90 105 120 135 1950 1962 1974 1986 1998 2010 135 150 165 180 195 210 1950 1962 1974 1986 1998 2010 160 180 200 220 240 260 1950 1962 1974 1986 1998 2010 200 220 240 260 280 1950 1962 1974 1986 1998 2010 140 160 180 200 220 240 260 1950 1962 1974 1986 1998 2010 180 200 220 240 260 280 1950 1962 1974 1986 1998 2010 140 160 180 200 220 Numberofrainy Sabarmati Numberofrainydays Narmada Numberofrainydays Mahanadi Numberofrainydays Krishna Numberofrainydays Cauvery Numberofrainydays Godavari Numberofrainydays Year of from 1951 to 2012 Brahmani and Baitarni
  • 13. change Rainfall data at short time intervals are needed to determine trends in intensities.
  • 14. ASSESSMENT OF E-FLOWS FOR UPPER GANGA BASIN ASSESSMENT OF E-FLOWS FOR UPPER GANGA BASIN G&D Sites Depth (m) Velocity (m/s) Discharge (cumecs) D V Q Alaknanda (Joshimath) 0.25 0.87 5.98 Alaknanda (Rudraprayag) 0.50 2.06 29.20 Bhagirathi (Uttarkashi) 0.50 1.99 7.98 Bhagirathi (Tehri) 0.50 1.73 41.96 Ganga (Devprayag) 0.50 0.88 18.25 Ganga (Rishikesh) 0.50 2.08 43.88 Min flow requirements in lean period (Nov-May) Min flow requirements in lean period (Nov-May) Min flow requirements in spawning period (June-Oct) Min flow requirements in spawning period (June-Oct) Depth (m) Velocity (m/s) Discharge (cumecs) D V Q 1.00 1.75 51.25 1.00 3.12 41.36 1.00 2.70 131.45 1.00 3.11 89.49 1.00 4.55 136.40 1.00 1.75 51.25 14
  • 16. NIH Experimental Catchments in Lesser Himalayas Objectives •Run experimental catchments for better understanding of hydrological processes in lesser Himalayas. •Field estimation of ET by flux tower and comparison with methods such as RS/SEBAL, FAO56 method. •To establish relationship between climatic and hydrologic variables and seasonal variations in Himalayan environment. •To improve understanding of hydrological processes through isotope geochemistry. •To study the ground water dynamics in lesser Himalayan watershed. Advanced instruments being installed •Flux tower •COSMOS
  • 18. LULC of Henval Basin S. no. Class Name Area (%) 1 Agriculture 12.44 2 Fallow land 10.27 3 Openforest 26.23 4 Denseforest 51.06 LULC of Jijli Basin S. no. Class Name Area (%) 1 Agriculture 4.95 2 Fallow land 3.29 3 Openforest 27.61 4 Denseforest 64.14
  • 19. AWS (+ Proposed Flux Tower) site in Henval Catchment
  • 20. Variation of soil temperature at different depths
  • 21. SOIL TEMPERATURE AT DIFFERENT DEPTHSSOIL TEMPERATURE AT DIFFERENT DEPTHS
  • 22. Diurnal variation in the Soil Temp. at different depths
  • 23. • Is the precipitation intensity changing with time. If yes, where and attributions ? • Changes in ET, Relative Humidity ?? • What are the uncertainties in observed estimates ? • What are the impacts on components of the hydrologic cycle at various scales ? • More research and observations are required to understand occurrence of cloudburst events and their prediction. Topics Requiring Attention

Editor's Notes

  • #8: Flood prone Area 40 mha, Area which can be given reasonable protection 32 mha, Area protected till 2004 15.8 mha