Atmospheric radiation measurement program facilities newsletter, March 2002.
Bibliographic record
Abstract
International H2O Project (IHOP-2002)--The International H2O Project (IHOP-2002) will take place in west-central Oklahoma over 44 days, May 13-June 25, 2002. The main focus will be water vapor and its role in storm development and rainfall production, information needed to improve rainfall forecasting. Forecasting the amount and location of rainfall is difficult, particularly in the warm months, and improvements are urgently needed. Accurate prediction of floods would be very beneficial to society, because flooding is costly in terms of loss of life and property damage. Deaths resulting from flash flooding outnumber those from hurricanes, tornadoes, windstorms, or lightning, and damage due to flooding exceeds $5 billion annually. One measure of weather forecasting success is the accuracy of the Quantitative Precipitation Forecast (QPF), which predicts the amount of precipitation to be received at a certain location. One of the research goals of IHOP-2002 is to determine whether more accurate, detailed measurement of humidity will improve a computer model's ability to forecast rainfall amounts accurately. Current water vapor measurements are inadequate. The weather balloons (radiosondes) that gather most of the water vapor data used in today's weather and global climate models have three problems. First, the radiosonde stations are located too far apart, generating a grid of data that is too coarse to show the needed details in water vapor variability. Second, the radiosonde launches occur only every 12 hours, again providing too few data points for a highly variable parameter. Third, the radiosonde instrument has biases and inaccuracies in its measurements. Questionable data quality and data sets too coarse in both time and space make accurate forecasting difficult. The key to better, more accurate, higher-resolution water vapor measurements is dependable, ground-based sensors that operate continually and accurately. Such sensors will decrease dependence on sparsely spaced, costly weather balloon releases. IHOP-2002 will give researchers an active platform for testing and evaluating the capabilities and limitations of several water vapor measurement instruments. For example, the National Oceanic and Atmospheric Administration (NOAA) Environmental Technology Laboratory will be bringing a mini-DIAL (differential absorption lidar) to the SGP central facility for comparison with the SGP Raman lidar. Lidars send beams of laser light skyward and measure scattered light not absorbed by water molecules. The collection of IHOP-2002 instruments includes 2 fixed radars, 6 mobile radars, 2 airborne radars, 8 lidars (6 of which can sample water vapor), 1 advanced wind profiler, 2 sodars, 3 interferometers, 18 special surface stations, 800 radiosondes, 400 dropsondes, 1 tethersonde system, 52 global positioning system receivers, 3 profiling radiometers, 1 mobile profiling radiometer and wind profiler, and 5 water vapor radiometers. Six research aircraft will be deployed during the course of the field campaign. The aircraft will occasionally fly low-level tracks and will deploy dropsondes. A dropsonde resembles a radiosonde, an instrument package attached to a helium-filled balloon that rises into the atmosphere, but the dropsonde is released from an airplane and collects data on its way down to the ground. Finders of dropsondes are asked to follow the instructions on the package for returning the device to the researcher. Funding for IHOP-2002 is from many sources, including NOAA, the National Science Foundation, the National Center for Atmospheric Research, and the U.S. Department of Energy. Participation is worldwide, including researchers from Australia, Canada, France, Germany, the Netherlands, the United Kingdom, and the United States.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.196 | 0.162 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".