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Varia%ons  in  climate  indicators  of  Nepal
Soni	
  M.	
  Pradhanang,	
  University	
  of	
  Rhode	
  Island,	
  USA	
  
Nir	
  Krakauer,	
  City	
  College	
  of	
  New	
  York,	
  USA	
  
Ram	
  Chandra	
  Karki,	
  Department	
  of	
  Hydrology	
  and	
  Meteorology,	
  Nepal	
  
¤	
  
¤	
  
¤	
  
¤	
  
¤	
  
•  	
   An	
   index	
   is	
   a	
   set	
   of	
   parameters	
   or	
   indicators	
   that	
   describe	
   a	
  
situa4on.	
   The	
   indices	
   described	
   here	
   are	
   climate	
   indices,	
   i.e.,	
  
they	
  tell	
  us	
  how	
  the	
  climate	
  evolves	
  in	
  the	
  studied	
  area.	
  
O=,	
  W.	
  1978.	
  Environmental	
  Indices:	
  Theory	
  and	
  PracHce	
  
Indices	
   are	
   used	
   to	
   summarize	
   and	
   present	
   a	
   complex	
   set	
   of	
  
mul4variate	
  (several	
  variables	
  at	
  the	
  same	
  4me)	
  changes	
  so	
  that	
  
the	
  results	
  can	
  be	
  easily	
  understood	
  and	
  used	
  in	
  policy	
  decisions	
  
made	
  by	
  non-­‐specialists	
  in	
  the	
  field.	
  	
  
P
H
YS
IC
AL	
  
	
  
PR
O
CE
SS	
  
	
  
BIOLOGICAL	
  
PROCESSES	
  
CLIMATE	
  CHANGE	
  FORCINGS	
  
}$
IMPACTS	
   CRO
P	
  
FOREST	
  	
  
MIGRATION	
  
YI
EL
D	
  
COA
STA
L	
  
H
A
BI
T
A
T	
  
$
1)	
  How	
  has	
  the	
  climate	
  changed	
  or	
  
varied?	
  
2)	
  How	
  well	
  do	
  we	
  understand	
  the	
  
climate	
  system	
  ?	
  
3)	
  What	
  are	
  the	
  causes	
  of	
  climate	
  
change	
  and	
  variability?	
  
4)	
  How	
  can	
  we	
  characterize	
  the	
  impacts	
  of	
  
climate	
  change?	
  
}
• Related	
  to	
  frost	
   	
   	
   	
  FD,	
  IDO	
  
• Related	
  to	
  Temperature 	
   	
  SU25,	
  GSL,	
  TXx,	
  TNx,	
  TXn,	
  TNn,	
  
	
   	
   	
   	
   	
   	
  Tn10p,Tx10p,	
  Tn90p,	
  Tx90p,	
  
	
   	
   	
   	
   	
   	
  WSDI,	
  CSDI,	
  DTR	
  
• Related	
  to	
  rainfall	
  and	
  humidity	
  RX1day,	
  RX5day,	
  SDII,	
  R99p,	
  
	
   	
   	
   	
   	
   	
  R95p,	
  CDD,	
  PRCPTOT,	
  R10,	
  R20	
  
CLIMATE	
  INDICES	
  
Frost  Related
0	
  
2	
  
4	
  
6	
  
8	
  
10	
  
12	
  
14	
  
16	
  
0	
   2	
   4	
   6	
   8	
   10	
   12	
   14	
   16	
  
Number	
  of	
  Frost	
  Days	
  
Years	
  
Frost	
  Days	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
Indices  related  to  temperature
363.8	
  
364	
  
364.2	
  
364.4	
  
364.6	
  
364.8	
  
365	
  
365.2	
  
0	
   5	
   10	
   15	
  
GSL	
  in	
  days	
  
Growing	
  Season	
  Length	
  (GSL)	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
0	
  
50	
  
100	
  
150	
  
200	
  
250	
  
300	
  
350	
  
400	
  
0	
   2	
   4	
   6	
   8	
   10	
   12	
   14	
   16	
  
SU	
  in	
  days	
  
Summer	
  Days	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
 Climate  Indices  of  Precipita%on  and  Humidity
0	
  
500	
  
1000	
  
1500	
  
2000	
  
2500	
  
3000	
  
3500	
  
0	
   5	
   10	
   15	
   20	
   25	
   30	
   35	
  
PRCPTPT	
  in	
  mm	
  
Total	
  PrecipitaSon	
  (PRCPTOT)	
  	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
0	
  
5	
  
10	
  
15	
  
20	
  
25	
  
30	
  
35	
  
0	
   5	
   10	
   15	
   20	
   25	
   30	
   35	
  
SDII	
  
Simple	
  Daily	
  Intensity	
  Index	
  (SDII)	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
0	
  
200	
  
400	
  
600	
  
800	
  
1000	
  
1200	
  
1400	
  
0	
   5	
   10	
   15	
   20	
   25	
   30	
   35	
  
R95	
  in	
  mm	
  
PrecipitaSon	
  in	
  95th	
  PercenSle	
  (R95mm)	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
60	
  
70	
  
80	
  
90	
  
0	
   5	
   10	
   15	
   20	
   25	
   30	
   35	
  
R10	
  in	
  mm	
  
PrecipitaSon	
  in	
  10th	
  PercenSle	
  (R10mm)	
  
Bhairahawa	
   Biratnagar	
   Kathmandu	
   Okhaldhunga	
   Taplejung	
  
Q:  Why  do  extremes  maAer?  
A:  Users  are  planning  for  them!
PEOPLE’s vulnerability
rural / urban
CLIMATIC
VARIABILITY
a) inter annual variability
b) extreme events
AGRICULTURAL
PRODUCTION
ENVIRONMENT
Land availability
Soil sealing (urbanization)
Soil degradation, erosion
Water availability
Groundwater depletion
Water pollution
Deforestation
STRESSOR EXPOSURE &
Sensitivity
ADAPTIVE
CAPACITY
AGRICULTURAL
MANAGEMENT&
TECHNOLOGY
Crop choice
Irrigation
Input (fertilizer,…)
ECONOMIC
GDP/capita
rural/urban
Access to markets
POPULATION
STRUCTURE
Age distribution
Education
POLICY & INSTITUTIONS
Investment in infrastructure
Land tenure
SOCIOECONOMIC
Macroeconomic impact
Policies (land tenure,
irrigation infrastructure)

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Soni m pradhanang

  • 1. Varia%ons  in  climate  indicators  of  Nepal Soni  M.  Pradhanang,  University  of  Rhode  Island,  USA   Nir  Krakauer,  City  College  of  New  York,  USA   Ram  Chandra  Karki,  Department  of  Hydrology  and  Meteorology,  Nepal  
  • 2. ¤   ¤   ¤   ¤   ¤  
  • 3. •    An   index   is   a   set   of   parameters   or   indicators   that   describe   a   situa4on.   The   indices   described   here   are   climate   indices,   i.e.,   they  tell  us  how  the  climate  evolves  in  the  studied  area.   O=,  W.  1978.  Environmental  Indices:  Theory  and  PracHce   Indices   are   used   to   summarize   and   present   a   complex   set   of   mul4variate  (several  variables  at  the  same  4me)  changes  so  that   the  results  can  be  easily  understood  and  used  in  policy  decisions   made  by  non-­‐specialists  in  the  field.    
  • 4. P H YS IC AL     PR O CE SS     BIOLOGICAL   PROCESSES   CLIMATE  CHANGE  FORCINGS   }$ IMPACTS   CRO P   FOREST     MIGRATION   YI EL D   COA STA L   H A BI T A T   $ 1)  How  has  the  climate  changed  or   varied?   2)  How  well  do  we  understand  the   climate  system  ?   3)  What  are  the  causes  of  climate   change  and  variability?   4)  How  can  we  characterize  the  impacts  of   climate  change?   }
  • 5.
  • 6.
  • 7.
  • 8. • Related  to  frost        FD,  IDO   • Related  to  Temperature    SU25,  GSL,  TXx,  TNx,  TXn,  TNn,              Tn10p,Tx10p,  Tn90p,  Tx90p,              WSDI,  CSDI,  DTR   • Related  to  rainfall  and  humidity  RX1day,  RX5day,  SDII,  R99p,              R95p,  CDD,  PRCPTOT,  R10,  R20   CLIMATE  INDICES  
  • 9. Frost  Related 0   2   4   6   8   10   12   14   16   0   2   4   6   8   10   12   14   16   Number  of  Frost  Days   Years   Frost  Days   Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung  
  • 10. Indices  related  to  temperature 363.8   364   364.2   364.4   364.6   364.8   365   365.2   0   5   10   15   GSL  in  days   Growing  Season  Length  (GSL)   Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung   0   50   100   150   200   250   300   350   400   0   2   4   6   8   10   12   14   16   SU  in  days   Summer  Days   Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung  
  • 11.  Climate  Indices  of  Precipita%on  and  Humidity 0   500   1000   1500   2000   2500   3000   3500   0   5   10   15   20   25   30   35   PRCPTPT  in  mm   Total  PrecipitaSon  (PRCPTOT)     Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung   0   5   10   15   20   25   30   35   0   5   10   15   20   25   30   35   SDII   Simple  Daily  Intensity  Index  (SDII)   Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung  
  • 12. 0   200   400   600   800   1000   1200   1400   0   5   10   15   20   25   30   35   R95  in  mm   PrecipitaSon  in  95th  PercenSle  (R95mm)   Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung   0   10   20   30   40   50   60   70   80   90   0   5   10   15   20   25   30   35   R10  in  mm   PrecipitaSon  in  10th  PercenSle  (R10mm)   Bhairahawa   Biratnagar   Kathmandu   Okhaldhunga   Taplejung  
  • 13. Q:  Why  do  extremes  maAer?   A:  Users  are  planning  for  them!
  • 14. PEOPLE’s vulnerability rural / urban CLIMATIC VARIABILITY a) inter annual variability b) extreme events AGRICULTURAL PRODUCTION ENVIRONMENT Land availability Soil sealing (urbanization) Soil degradation, erosion Water availability Groundwater depletion Water pollution Deforestation STRESSOR EXPOSURE & Sensitivity ADAPTIVE CAPACITY AGRICULTURAL MANAGEMENT& TECHNOLOGY Crop choice Irrigation Input (fertilizer,…) ECONOMIC GDP/capita rural/urban Access to markets POPULATION STRUCTURE Age distribution Education POLICY & INSTITUTIONS Investment in infrastructure Land tenure SOCIOECONOMIC Macroeconomic impact Policies (land tenure, irrigation infrastructure)