1. California Climate
Outcome Likelihood Tool
Nina Oakley, Kelly Redmond, Grant Kelly, Britta Daudert
Western Regional Climate Center
USDM Forum
April 22 2015 – Reno, NV
2. Motivations
How might this year turn out?
NCDC “Amelioration” tool (PHDI) 1
M. Dettinger “ESP” analysis
P. Iñiguez PRISM simulations
What water managers want:
Better seasonal forecasts, monitoring, communication2
Constrain decision-making
Tool that is customizable, daily resolution
Tool that is graphical, explains caveats3
1ncdc.noaa.gov/temp-and-precip/drought/recovery/
2Steinemann 2014, BAMS
3Pulwarty 2003, Water Resources
3. Data Source
NWS COOP via ACIS
Daily, long record
Decision makers often state climate forecasts unreliable1
Suggest stations with record 1920 or better-present
Any station, any record
in US
Provisions for how
much missing data
acceptable
COOP at Manzanita Lake, CA1Pulwarty 2003, Water Resources
4.
5.
6. 3 Data Options
“Observed” data in station record
Distribution built from all past periods equal to “recovery period”
in station record
“Analog” Periods
Identify periods in station record of date range equal to
observed period that are within +/- 1, 2, or 3 deciles of current
observed total
Take their corresponding future “recovery” periods and create
distribution
Random sampling of station record
Sample each day of “recovery period” from station record, build
“synthetic accumulations”, repeat 1000x
Apr 13 2001 + Apr 14 1934 + Apr 15 1901 + ... Sept 30 1996
Doesn’t account for multiple day precipitation streaks
7. 2 “Analysis” Options
Amelioration
Likelihood of reaching normal, recovering deficit by end of
“recovery period”
Custom Threshold
Likelihood of receiving a user-specified amount of
precipitation by end of “recovery period”
8.
9. At RENO
2014-10-01 to
2015-04-12
2.93 in accum.
0 missing days
2.43 in deficit
11.87 in needed
by 09-30-2016
to recover deficit,
reach normal
15.6% chance
of recovering
based on 77 of
78 possible
periods in record
1937-03-01 to
2015-04-12
“Observed”
option
Deciles
Amount needed
Normal
for period
Probability of
occurrence
10.
11. “Analog”
option
At RENO
2014-10-01 to
2015-04-12
2.93 in accum.,
falls between
10th - 20th
percentile
2.43 in deficit
11.87 in needed
by 09-30-2016 to
recover deficit,
reach normal
13% chance
of recovering
using +/- 1
decile analog
(10th-30th
percentile),
23 periods
Probability of
occurrence
Amount needed
Normal
for period
12. Example graph + table for Sacramento, CA
Likelihood of exceeding threshold of 3 inches
by end of WY 2015 (20% chance)
13. Spaghetti Plot (coming soon)
Observed Precipitation
10-01-2014 through
04-12-2015
+
Selected precipitation
traces 04-13-2015
through 09-30-2016
=
Range of outcomes
based on climatology
Hypothetical Station
Observed period 10-01-2014 to 04-12-2015,
Future period ending 09-30-2016 10 traces shown
precipitation
time
14. Limitations and Future Work
Using historic record, does not account for future trends
Point rather than areal data
Test on target audience, implement feedback
http://wrcc.dri.edu/col/
Expand to other accumulating quantities
snowfall, HDD, CDD, GDD
15. Thank you!
South Yuba River, Sierra Nevada, CA
Feb 7/8 2015 Atmospheric River event
Bad for skiing, good for kayaking
Photo credit: Ben Hatchett nina.oakley@dri.edu
@WRCCclimate
Connect with WRCC!
16.
17. Random
Sampling
2014-10-01 to
2015-03-18
3.09 in
0 missing
0.15 in deficit
6.65 in needed
to recover deficit
by 09-30
28.6% chance
of recovering
based on 1000
random daily
samples from
record
1892-01-01 to
2015-03-19
Editor's Notes
We are often asked question how might this year turn out. A few tools address this at monthly, clim-div level.
Managers want seasonal forecasts. We can’t deliver this but can work off climatology to help constrain decision making
Felt it is important to make it flexible and at daily resolution and automated so people can run it as they need rather than wait for updates
Pulwarty 2003 suggest graphical interfaces are good for communication of climate info, but need to be usable by managers and contain enough info to communicate caveats. Will work with target user groups to assess these needs are met.
Uses NWS COOP. Prism-daily doesn’t have long enough record (1981-present), other gridded data sets not good in West or for precipitation
Avoided modeled data to keep simple approach, use climatology. Anticipate this will appeal to decision-makers, but has limitations such as future climate trends
Suggest stations with record 1920 or better so several major CA droughts in 29-34, 76-77, 1987-1992, current
Intended to run for any climate, any station but focus on CA
Usability features- questionmarks generate text box with useful info in them. Textboxes resizable, moveable. Invalid entries give you highlight of where they occur and description at top of page.
A couple options hidden, don’t appear until selected. Rest of presentation we will be talking about NMSU station and current water year.
Any ideas to create a meaningful random sampling method? Please share. Doesn’t account for consecutive days of precipitation which occur frequently in CA (target area of tool).
Option I will be showing results for is “amelioration”
Bug in graphing line in CDF doesn’t extend all the way across
3.24 normal
122 observations used in “observed period”
observed value 2014-10-01 to 03-18-2015 greater than 78 values in the data/less than 44 values in the data– therefore greater than 64% of values
“70th percentile” is values that are greater than 60-70 percent of the observations
“80th percentile would be values that are greater than 70-80% of observations and so on
For those that are curious max year in “recovery” period– 1941, 14.9 in. Lowest 1953 1.95 in
Will be able to turn years on and off