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Colorado State University
  • Home
  • Welcome & About
    • About CIRA
      • Jobs
      • Letter from Christian Kummerow:
      • Map & Directions
      • Organizational Structure
      • Reports
      • Room Schedules
      • Staff Directory
      • Strategic Plan
      • Vision & Mission Statement
    • Themes
      • Climate and Weather Processes
      • Competitive Projects
      • Data Assimilation
      • Data Distributions
      • Education and Outreach
      • Modeling Systems Research
      • NOAA Projects
      • Satellite Algorithm Development, Training and Education
      • Societal and Economic Impact Studies
    • Collaborative Groups
      • Colorado Climate Center
      • National Park Service
      • Regional and Mesoscale Meteorology Branch
  • Teams
    • Colorado Teams:
      • NOAA/Earth System Research Lab (ESRL) – Boulder, CO
      • Air Quality – Fort Collins, CO
      • Atmospheric Science (ATS) – Fort Collins, CO
      • Carbon – Fort Collins, CO
      • CIRA Software Engineering Group (CSEG) – Fort Collins, CO
      • Data Assimilation (DA) – Fort Collins, CO
      • Data Processing Centers (DPC) – Fort Collins, CO
      • Independent – Fort Collins, CO
      • MetSat – Fort Collins, CO
      • Regional and Mesoscale Meteorology Branch (RAMMB) – Fort Collins, CO
      • Training – Fort Collins, CO
      • Tropical Cyclone – Fort Collins, CO
    • Other Location Teams:
      • National Hurricane Center – Miami, FL
      • NESDIS Environmental Applications Team (NEAT) – College Park, MD
      • NWS/Meteorological Development Laboratory (MDL) – Silver Spring, MD
      • NWS/Aviation Weather Center (AWC) – Kansas City, MO
      • Office of Marine and Aviation Operations (OMAO-Training) – Kansas City, MO
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Christman Field Latest Observations
Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
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in Hg
Solar
W/m^2
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in
2021-04-20 22:15 30.5 61.4 18.8 4.7 7 5.6 30 0.000 0.0 0.00
2021-04-20 22:10 30.4 61.2 18.7 4.9 16 6.0 15 0.000 0.0 0.00
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2021-04-20 22:00 30.3 64.5 19.8 4.6 11 5.7 13 0.000 0.0 0.00
2021-04-20 21:55 30.5 62.4 19.2 3.2 15 4.6 13 0.000 0.0 0.00
2021-04-20 21:50 30.4 59.4 18.0 3.0 35 4.3 34 0.000 0.0 0.00
2021-04-20 21:45 30.1 60.5 18.1 2.3 51 3.2 53 0.000 0.0 0.00
2021-04-20 21:40 30.0 64.4 19.4 2.1 23 2.8 23 0.000 0.0 0.00
2021-04-20 21:35 30.0 63.3 19.1 2.7 17 3.2 17 0.000 0.0 0.00
2021-04-20 21:30 30.5 65.7 20.4 2.7 17 3.4 17 0.000 0.0 0.00
2021-04-20 21:25 30.7 60.4 18.7 1.9 17 2.4 17 0.000 0.0 0.00
2021-04-20 21:20 30.8 55.9 16.9 1.1 17 2.0 17 0.000 0.0 0.00
2021-04-20 21:15 30.7 56.1 16.9 1.4 350 2.6 349 0.000 0.0 0.00
2021-04-20 21:10 30.7 52.5 15.4 0.3 17 0.7 17 0.000 0.0 0.00
2021-04-20 21:05 30.8 57.1 17.4 0.9 17 1.4 17 0.000 0.0 0.00
2021-04-20 21:00 30.8 56.1 17.0 1.7 17 2.1 17 0.000 0.0 0.00
2021-04-20 20:55 30.7 53.9 16.0 1.8 29 2.8 18 0.000 0.0 0.00
2021-04-20 20:50 30.7 58.4 17.9 1.4 28 2.9 21 0.000 0.0 0.00
2021-04-20 20:45 30.8 62.4 19.5 1.9 13 2.7 355 0.000 0.0 0.00
2021-04-20 20:40 30.9 58.5 18.1 2.3 4 3.2 356 0.000 0.0 0.00
2021-04-20 20:35 31.0 57.8 17.8 3.0 356 3.7 354 0.000 0.0 0.00
2021-04-20 20:30 31.1 56.4 17.4 2.5 355 3.4 0 0.000 0.0 0.00
2021-04-20 20:25 31.1 56.1 17.3 3.2 5 4.1 12 0.000 0.0 0.00
2021-04-20 20:20 31.1 53.8 16.3 4.5 11 5.5 10 0.000 0.0 0.00
2021-04-20 20:15 31.1 55.3 16.9 5.0 5 5.6 349 0.000 0.0 0.00
2021-04-20 20:10 31.6 55.4 17.4 3.6 345 4.6 342 0.000 0.0 0.00
2021-04-20 20:05 31.9 53.3 16.8 2.5 332 3.7 305 0.000 0.0 0.00
2021-04-20 20:00 32.2 54.4 17.6 0.1 136 1.5 136 0.000 0.0 0.00
2021-04-20 19:55 32.1 51.0 16.1 2.0 118 3.8 139 0.000 0.0 0.00
2021-04-20 19:50 32.3 54.4 17.7 3.1 150 5.0 136 0.000 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Gross Moist Stability and MJO Simulation Skill in Three Full-Physics GCMs


Previous studies have demonstrated a link between gross moist stability (GMS) and intraseasonal variability in theoretical and reduced-complexity models. In such simplified models, MJO-like moisture modes—convectively coupled tropical disturbances akin to the MJO whose formation and dynamics are linked to moisture perturbations—develop only when GMS is either negative or “effectively” negative when considering additional sources of moist entropy. These simplified models typically use a prescribed, time-independent GMS value. Limited work has been done to assess GMS and its connection to intraseasonal variability in full-physics general circulation models (GCMs).

The time-mean and intraseasonal behavior of normalized GMS (NGMS) are examined in three pairs of GCMs to elucidate the possible importance of NGMS for the MJO. In each GCM pair, one member produces weak intraseasonal variability, while the other produces robust MJOs because of a change in the treatment of deep convection. A strong linear correlation between time-mean NGMS and MJO simulation skill is observed, such that GCMs with less positive NGMS produce improved MJO eastward propagation. The reduction in time-mean NGMS is primarily due to a sharp drop to negative values in the NGMS component related to vertical advection, while the horizontal advection component has a less clear relationship with MJO simulations. Intraseasonal fluctuations of anomalous NGMS modulate the magnitude of background NGMS but generally do not change the sign of background NGMS. NGMS declines ahead of peak MJO rainfall and increases during and after heaviest precipitation. Total NGMS fluctuates during MJO passage but remains positive, suggesting that other sources of moist entropy are required to generate an effectively negative NGMS.

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