NOAA PACS/GAPP Supported Projects for NAME 2004

1
NOAA PACS/GAPP Supported Projects for NAME 2004

• Mike Patterson, NOAA OGP
• NAME SWG-5
• Puerto Vallarta, Mexico
• November 6-7, 2003

North American Warm Season Precipitation 30
Projects 2.5M
2004 North American Monsoon Experiment Field
Campaign 12 Projects 1.7M
2
FY04 PACS/GAPP Warm Season Precipitation
Initiative Scope

• Initiative Goal to determine the sources and
  limits of predictability of warm season
  precipitation over North America, with emphasis
  on time from intraseasonal-to-interannual.
• Principal Objectives
• a better understanding of the key components of
  the North American monsoon system and its
  temporal and spatial variability
• a better understanding of the role of this system
  in the global water cycle and regional climate
  variability
• improved simulation and intraseasonal-to-interannu
  al prediction of the monsoon and regional water
  resources.

3
PACS and GAPP Priorities

• PACS interest
• improving the empirical description and climate
  model simulations of the continental-scale
  monsoon and its interannual variability
• stablishing the role of surface boundary
  processes (especially the role of the ocean) and
  transient atmospheric disturbances in determining
  the regional monsoon variability and improving
  the representation of key processes in coupled
  climate models
• demonstrating that observed connections between
  leading patterns of climate variability (e.g.
  ENSO, PDO) and the continental-scale
  precipitation patterns are captured in climate
  models
• and defining the climate observing system for
  monitoring and predicting summertime North
  American climate.
• GAPP interests
• the role of land surface processes in the
  predictability of warm season precipitation,
  including their role in the onset, maintenance
  and decay of the monsoon system, their influence
  on the low level jets, and orographic
  precipitation processes.
• Applications on water resource management using
  the improved understanding and modeling of the
  monsoon system are also encouraged.

4
NAME 2004 Field CampaignNOAA OGP Priorities

• NOAA OGP interest is guided by the need to
  better understand and model key ocean, atmosphere
  and land processes for improved dynamical model
  simulations of the intraseasonal-to-interannual
  variability of the North American monsoon.
• PACS emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region
• GAPP emphasis
• mountain hydrometeorological data to support
  studies of precipitation patterns and runoff
  generation in mountainous areas
• in-situ soil moisture and vegetation data (soil
  type/texture info is needed) as validation
  datasets for models and remote sensing products
• measurement of moisture fluxes to examine the
  extent to which current data assimilation
  approaches capture their spatial and temporal
  scales

OGP interest is guided by the need to better
understand and model key ocean, atmosphere and
land processes for improved model simulations and
predictions of the intraseasonal-to-interannual
variability of the North American monsoon.
5
NAME 2004 Field CampaignNOAA OGP Priorities

• NOAA OGP interest is guided by the need to
  better understand and model key ocean, atmosphere
  and land processes for improved dynamical model
  simulations of the intraseasonal-to-interannual
  variability of the North American monsoon.
• PACS emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region
• GAPP emphasis
• mountain hydrometeorological data to support
  studies of precipitation patterns and runoff
  generation in mountainous areas
• in-situ soil moisture and vegetation data (soil
  type/texture info is needed) as validation
  datasets for models and remote sensing products
• measurement of moisture fluxes to examine the
  extent to which current data assimilation
  approaches capture their spatial and temporal
  scales

OGP interest is guided by the need to better
understand and model key ocean, atmosphere and
land processes for improved model simulations and
predictions of the intraseasonal-to-interannual
variability of the North American monsoon.

• PACS Emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region

6
NAME 2004 Field CampaignNOAA OGP Priorities

• NOAA OGP interest is guided by the need to
  better understand and model key ocean, atmosphere
  and land processes for improved dynamical model
  simulations of the intraseasonal-to-interannual
  variability of the North American monsoon.
• PACS emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region
• GAPP emphasis
• mountain hydrometeorological data to support
  studies of precipitation patterns and runoff
  generation in mountainous areas
• in-situ soil moisture and vegetation data (soil
  type/texture info is needed) as validation
  datasets for models and remote sensing products
• measurement of moisture fluxes to examine the
  extent to which current data assimilation
  approaches capture their spatial and temporal
  scales

OGP interest is guided by the need to better
understand and model key ocean, atmosphere and
land processes for improved model simulations and
predictions of the intraseasonal-to-interannual
variability of the North American monsoon.

• PACS Emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region
• GAPP Emphasis
• mountain hydrometeorological data to support
  studies of precipitation patterns and runoff
  generation in mountainous areas
• in-situ soil moisture and vegetation data (soil
  type/texture info is needed) as validation
  datasets for models and remote sensing products
• measurement of moisture fluxes to examine the
  extent to which current data assimilation
  approaches capture their spatial and temporal
  scales

7
Fostering International Collaboration

• NOAA-funded projects will support
• meetings for scientific planning, field
  coordination, and post-field data set
  development, analyses, and modeling
• travel of international PIs and their students to
  participate in the field and to enable joint
  research among investigators
• forecaster exchanges
• training courses in observations, analysis and
  modeling
• graduate education opportunities at US
  institutions
• collaborative deployment and operation of
  observing systems
• cooperative development and provision of data
  sets
• observing system design and transition to
  operations

8
Gochis
Puerto Penasco
Nogalis
San Rosalillita
Baja Tortugas
9
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
?
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
?
Mulege
NOAA Sponsored
Los Mochis
Loreto
Guasave
Gochis
Cuiliacan
Higgins
Jamison
Mazatlan
La Paz
Zacatecas
NSF Sponsored
NSF ISS
10
raingauges
Daily Rainguage Network Higgins, Sanchez Arzate
11
Raingauges-Mtn

• NAME Enhanced Raingauge NetworkShuttleworth,
  Gochis, Watts Garatuza-Payan

PH 1 Event Raingage
Isotope Collector
PH 2 Event Raingage
SMN Automatic Met Station
Proposed Radar Site
12
Rainguages, Surface Met. Fluxes
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
Mulege
NOAA Sponsored
Los Mochis
Loreto
Guasave
Gochis
Cuiliacan
Higgins
Jamison
Mazatlan
La Paz
A. Douglas
HOBO Temp/RH
M. Douglas
Zacatecas
13
Enhanced Raingauge Network
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
Mulege
Los Mochis
Loreto
Guasave
Cuiliacan
NOAA Sponsored
Mazatlan
La Paz
Gochis
Higgins
Jamison
ALERT Wx Station
M. Douglas
Zacatecas
14
Enhanced Radar Network
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
Mulege
Los Mochis
Loreto
Guasave
Cuiliacan
NOAA Sponsored
Mazatlan
La Paz
Precip. Profiler
Zacatecas
NSF Sponsored
15
Surface Met. Fluxes
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
Mulege
Los Mochis
Loreto
Guasave
NOAA Sponsored
Cuiliacan
ALERT Wx Station
Jamison
A. Douglas
HOBO Temp/RH
Mazatlan
La Paz
King
Soil Moisture
Flux Tower
M. Douglas
Auto Sfc Station
Zacatecas
Drifters, Heat Flux Sfc Met
Fluxes Sfc Met
16
Upper-aire soundings
17
M.Douglas pibal
NAME RADIOSONDE / PIBAL NETWORK
Douglas et al. (2002)
18
M.Douglas flight patterns
19
Atmospheric Profiles
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
?
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
?
Mulege
NOAA Sponsored
Los Mochis
Loreto
Cuiliacan
A. Douglas
GPS Sondes
M. Douglas
RS-80 Sondes
Mazatlan
.
La Paz
Pibols
Aerosonde
RS-80 Sondes, Pibols
Zacatecas
NSF Sponsored
Wind Profiler
GPS Sondes
NSF ISS
GPS Sondes, Wind Profiler
20
Oceanographic
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
Mulege
Los Mochis
Loreto
Guasave
Cuiliacan
Mazatlan
La Paz
NOAA Sponsored
CTD Casts, ADCP Surveys, SST Salinity, Fluxes,
Drifters
M. Douglas
Zacatecas
CTD Moorings
Rutledge/Fairall
Air-Sea Fluxes, Surface Waves
21
Tucson
Puerto Penasco
Nogalis
San Rosalillita
Hermosillo
Chihuahua
?
Guaymas
Cuidad Obregon
Monterrey
Santa Rosalia
Baja Tortugas
Choix
Torreon
?
Mulege
NOAA Sponsored
Los Mochis
Loreto
Guasave
Gochis
Cuiliacan
Higgins
Jamison
Mazatlan
La Paz
A. Douglas
Zacatecas
NSF Sponsored
NSF ISS
22
Outstanding Issues

• P-3 Aircraft Hours
• Mexican Vessel at Mouth of Gulf
• Bulk Purchase of Radiosondes
• Duty Waiver
• Off-Campus Overheads on Expendables
• Centralized Field Travel through JOSS
• Project Office Costs (Already 400K)
• Meetings
• FOC
• AOC
• Data Set Development and Management

• NOAA OGP interest is guided by the need to
  better understand and model key ocean, atmosphere
  and land processes for improved dynamical model
  simulations of the intraseasonal-to-interannual
  variability of the North American monsoon.
• PACS emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region
• GAPP emphasis
• mountain hydrometeorological data to support
  studies of precipitation patterns and runoff
  generation in mountainous areas
• in-situ soil moisture and vegetation data (soil
  type/texture info is needed) as validation
  datasets for models and remote sensing products
• measurement of moisture fluxes to examine the
  extent to which current data assimilation
  approaches capture their spatial and temporal
  scales

23
Outstanding Issues

• P-3 Aircraft Hours
• Mexican Vessel at Mouth of Gulf
• Bulk Purchase of Radiosondes
• Duty Waiver
• Off-Campus Overheads on Expendables
• Centralized Field Travel through JOSS
• Project Office Costs (Already 400K)
• Meetings
• FOC
• AOC
• Data Set Development and Management

• NOAA OGP interest is guided by the need to
  better understand and model key ocean, atmosphere
  and land processes for improved dynamical model
  simulations of the intraseasonal-to-interannual
  variability of the North American monsoon.
• PACS emphasis
• marine data to determine the role of oceanic and
  coupled ocean-atmospheric processes in the
  dynamics of the monsoon, to provide over-ocean
  depiction of atmospheric conditions, and to
  enhance the interpretation of continental
  observations
• atmospheric observations to describe, understand,
  and model the circulation, moisture transport,
  convection, and precipitation over the warm
  continent and complex terrain in the core monsoon
  region
• GAPP emphasis
• mountain hydrometeorological data to support
  studies of precipitation patterns and runoff
  generation in mountainous areas
• in-situ soil moisture and vegetation data (soil
  type/texture info is needed) as validation
  datasets for models and remote sensing products
• measurement of moisture fluxes to examine the
  extent to which current data assimilation
  approaches capture their spatial and temporal
  scales

Please help program managers constrain project
budgets!