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![Page 1: A Near Real Time Drought Monitoring Capability · A Near Real Time Drought Monitoring Capability Kingtse Mo , Muthuvel Chelliah, Wayne Higgins and ... Brian Cosgrove and Chuck Alonge](https://reader031.fdocuments.net/reader031/viewer/2022022520/5b19f06a7f8b9a46258ce651/html5/thumbnails/1.jpg)
A Near Real Time Drought Monitoring Capability
Kingtse Mo , Muthuvel Chelliah, Wayne Higgins Kingtse Mo , Muthuvel Chelliah, Wayne Higgins andand
The NCEP Drought Monitoring TeamThe NCEP Drought Monitoring TeamClimate Prediction CenterClimate Prediction Center
NCEP/NWS/NOAANCEP/NWS/NOAA
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An Experimental Drought Early Warning System(DEWS)An integrated component of a National Policy to monitor and predict drought in support of NIDIS
1. A drought early warning system will mitigate the impact of drought over the United States and an improved operational drought monitoring system will contribute to the National Integrated Drought Information System (NIDIS);
2. The NCEP regional reanalysis (RR) and the NLDAS allow us to build a consistent mesoscale drought monitoring system;
3. The NCEP CFS/GFS forecasts allow enhancement of the DEWS based on dynamical forecasts and regional analysis/NLDAS.
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Let us talkWe know:We know:
a) Products available;a) Products available;b) Strength and weakness of Products b) Strength and weakness of Products
We need your adviceWe need your advice::List of products that you need;List of products that you need;Temporal and spatial scales;Temporal and spatial scales;Error margins allowed and form of Error margins allowed and form of productsproductsHow to deliver the productsHow to deliver the products
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Drought monitoring Team
CPC:CPC: Kingtse Mo, Muthuvel Chelliah, Kingtse Mo, Muthuvel Chelliah, Wayne Higgins and Wanru WuWayne Higgins and Wanru Wu
EMCEMC: Kenneth Mitchell, Jesse Ming : Kenneth Mitchell, Jesse Ming and Helin Weiand Helin Wei
NASANASA: Brian Cosgrove and Chuck Alonge: Brian Cosgrove and Chuck AlongeLink to: University of Washington: Dennis LettenmaierLink to: University of Washington: Dennis Lettenmaier
Princeton University: Eric WoodPrinceton University: Eric WoodSupported by NCPO/GAPP Core and CPPASupported by NCPO/GAPP Core and CPPA
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Monitoring DroughtMore than one index or variableis needed to give a complete picture
A) Indices:A) Indices:(i) Standard Precipitation Index( SPI):(i) Standard Precipitation Index( SPI):
Based on precipitation (P) alone; Based on precipitation (P) alone; Easy to extend to forecasts;Easy to extend to forecasts;Does not include soil/hydrological conditions.Does not include soil/hydrological conditions.
(ii) Palmer Drought Severity Index (PDSI);(ii) Palmer Drought Severity Index (PDSI);Based on the water balance equation;Based on the water balance equation;Difficult to extend to forecasts;Difficult to extend to forecasts;
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PDSI(RR)
By in large, the PDSI(RR) averaged over a By in large, the PDSI(RR) averaged over a large area or over a long period is close to large area or over a long period is close to the PDSI (Palmer) based on the climate the PDSI (Palmer) based on the climate division data. The advantages are:division data. The advantages are:
A) The RR has mesoscale (32 km) horizontal A) The RR has mesoscale (32 km) horizontal resolution;resolution;B) More weight is given to soil moisture anomalies;B) More weight is given to soil moisture anomalies;C) More consistent with P (and other fields) because C) More consistent with P (and other fields) because all are taken from the same analysis. all are taken from the same analysis.
ref: ref: Mo and Chelliah (2006)
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SPI indices for Feb 20063mo 3 -month3 month
6-month
12-month
24-month
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Modified PDSI
Z Index
Feb 2006
Based on the RCDAS
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Monitoring droughtseasonal, monthly & weeklyMean and anomaly (RR based)
Advantages:Advantages:3232--km based on the RCDAS;km based on the RCDAS;
Atmospheric conditions and surface Atmospheric conditions and surface conditions are consistent;conditions are consistent;
Disadvantages:Disadvantages:May be too coarse;May be too coarse;Model & input data dependentModel & input data dependent
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P
P Feb2006
••Atmospheric Atmospheric conditions:conditions:850 & 200 850 & 200 hPahPa
winds,winds,T2m, Rh850,10m T2m, Rh850,10m
Winds , total Winds , total precipitableprecipitable water & water & Q2m;Q2m;•• Moisture budget Moisture budget termsterms;;••Surface conditionsSurface conditionsStreamflowStreamflow and runoffand runoffSoil conditionsSoil conditionsSoil moisture and Soil moisture and
soil temperature at 4 soil temperature at 4 layerslayers
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Soil moisture
From 0-200cm
And anomalies for Feb 2006
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Monitoring drought
Energy Budget terms Energy Budget terms Seasonal Monthly , weekly means and Seasonal Monthly , weekly means and anomalies: downward and upward short anomalies: downward and upward short and long wave radiation; latent and and long wave radiation; latent and sensible heat;sensible heat;Snow productsSnow productsSnow water equivalent; snow melt total Snow water equivalent; snow melt total and snow depthand snow depth
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Downward short wave radiation anom
Sensible heat anom
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Snow water equivalent anom
Snow depth anom
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NLDAS Products
4 NLDAS products and combine;4 NLDAS products and combine;Noah, Vic, Mosiac and SacNoah, Vic, Mosiac and Sac
advantagesadvantagesThey are 0.125 degrees resolutionThey are 0.125 degrees resolution
DisadvantagesDisadvantagesHighly model dependentHighly model dependent
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Future plans
4 NLDAS products from 19794 NLDAS products from 1979--present;present;Verification;Verification;Calibration;Calibration;Consolidation based on anomaliesConsolidation based on anomaliesNeed your advice:Need your advice:
A)A) All products or combined ones;All products or combined ones;B) Product list;B) Product list;C) Indication of spreadC) Indication of spread
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Forecast productsGFS (~ GFS (~ 4040 km) weekly (7km) weekly (7--day) forecasts day) forecasts (more than T2m, P and Soil conditions);(more than T2m, P and Soil conditions);Consolidated and CFS forecasts Consolidated and CFS forecasts
Your input:Your input:A) Products;A) Products;B) Margin of error;B) Margin of error;C) form of productsC) form of products
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Conclusions
We are in the processes to develop a dynamicallyWe are in the processes to develop a dynamically--based based DEWS based on the mesoscale regional reanalysis and DEWS based on the mesoscale regional reanalysis and NLDAS.NLDAS.In addition to precipitation, soil moisture from 0In addition to precipitation, soil moisture from 0--200cm and 200cm and four layers, we plan to use the PDSI based on RR, SPIs and four layers, we plan to use the PDSI based on RR, SPIs and surface fluxes and energetic to monitor drought near real timesurface fluxes and energetic to monitor drought near real timeThe advantages are (a) the RR and NLDAS are mesoscale, (b) The advantages are (a) the RR and NLDAS are mesoscale, (b) all fields are consistent.all fields are consistent.More than one index is needed to monitor droughtMore than one index is needed to monitor drought
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NOAA Climate Prediction Services Team & CTB
We are working with the Climate We are working with the Climate Service Division to serve you.Service Division to serve you.
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mPDSI from the RRThe same frame work as Palmer (1965) is adopt:The same frame work as Palmer (1965) is adopt:
A)A) The water balance equation;The water balance equation;B)B) The difference between P and the expected P from the maximum The difference between P and the expected P from the maximum
conditions (CAFEC);conditions (CAFEC);C)C) The assumption of the first order Markov process;The assumption of the first order Markov process;
The following changes were madeThe following changes were made::A.A. The PE, E, runoff, total soil moisture change were taken from moThe PE, E, runoff, total soil moisture change were taken from monthly nthly
mean RR archive;mean RR archive;B.B. Potential recharge is defined as PR=SmaxPotential recharge is defined as PR=Smax--SS’’;where Smax is the ;where Smax is the
maximum total soil moisture for a given calendar month; Smaximum total soil moisture for a given calendar month; S’’ is the total is the total soil moisture at the beginning of the month;soil moisture at the beginning of the month;
C.C. Potential precipitation is assumed to be the maximum P for a givPotential precipitation is assumed to be the maximum P for a given en calendar month;calendar month;
D.D. The AWC and assumption of two soil layers are no longer needed. The AWC and assumption of two soil layers are no longer needed. Normalization is recalibratedNormalization is recalibrated
Mo and Chelliah (2006)