A global climatology of extreme rainfall rates in the inner core of intense tropical cyclones

The localized rain rate maxima (R_M) of the inner core region of intense tropical cyclones (TCs) are investigated using Version 6 of the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis data-set from 1998 to 2010. Specifically, this study examines the probabilities of R_M exceeding 25 mm h^?1 (P25) in intense TCs. The 25 mm h^?1 R_M is the 90th percentile of all R_M observations during the study period. The descending order of P25 observed from intense TCs for the six major ocean basins is: the North Indian Ocean, the Atlantic Ocean, the Northwest Pacific Ocean, the South Pacific Ocean, the South Indian Ocean, and the East-central Pacific Ocean. The six major basins have been subdivided into 29 sub-basins to discern regional variability of R_M. P25 increases with increasing TC category in all major basins, except for the South Pacific. Sub-basins with intense TCs that produce extreme rainfall rate maxima include the Bay of Bengal, the South Philippine Sea, the East China Sea, the north coast of Australia, southeast Melanesia, and the Northwest Atlantic. Sub-basins with a higher proportion of category 5 (CAT5) observations than category 3 (CAT3) observations tend to have a greater P25 beyond 60 km from the storm center.     

Development of a parameterization for simulating the urban temperature hazard using satellite observations in climate model

Urban surface temperature is hazardously higher than surrounding regions (so-called urban heat island effect UHI). Accurately simulating urbanization-induced temperature hazard is critical for realistically representing urban regions in the land surface-atmosphere climate system. However, inclusion of urban landscapes in regional or global climate models has been overlooked due to the coarse spatial resolution of these models as well as the lack of observations for urban physical properties. Recently, National Aeronautics and Space Administration (NASA) Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) observations illustrate important urban physical properties, including skin temperature, surface albedo, surface emissivity, and leaf area index, It is possible to identify the unique urban features globally and thus simulate global urban processes. An urban scheme is designed to represent the urban-modified physical parameters (albedo, emissivity, land cover, roughness length, thermal and hydraulic properties) and to include new, unique physical processes that exist in urban regions. The urban scheme is coupled with National Center for Atmospheric Research (NCAR) Community Land Model Version 2 (CLM2) and single column coupled NCAR Community Atmosphere Model CAM2/CLM2 to assess the mechanisms responsible for UHI. There are two-steps in our model development. First, satellite observations of albedo, emissivity, LAI, and in situ observed thermal properties are updated in CLM2 to represent the first-order urban effects. Second, new terms representing the urban anthropogenic heat flux, storage heat flux, and roughness length are calculated in the model. Model simulations suggest that human activity-induced surface temperature hazard results in overlying atmosphere instability and convective rainfall, which may enhance the possibility of urban flood hazard.

Comparison of dew point temperature estimation methods in Southwestern Georgia

Recent upward trends in acres irrigated have been linked to increasing near-surface moisture. Unfortunately, stations with dew point data for monitoring near-surface moisture are sparse. Thus, models that estimate dew points from more readily observed data sources are useful. Daily average dew temperatures were estimated and evaluated at 14 stations in Southwest Georgia using linear regression models and artificial neural networks (ANN). Estimation methods were drawn from simple and readily available meteorological observations, therefore only temperature and precipitation were considered as input variables. In total, three linear regression models and 27 ANN were analyzed. The two methods were evaluated using root mean square error (RMSE), mean absolute error (MAE), and other model evaluation techniques to assess the skill of the estimation methods. Both methods produced adequate estimates of daily averaged dew point temperatures, with the ANN displaying the best overall skill. The optimal performance of both models was during the warm season. Both methods had higher error associated with colder dew points, potentially due to the lack of observed values at those ranges. On average, the ANN reduced RMSE by 6.86% and MAE by 8.30% when compared to the best performing linear regression model.     

Remote sensing methods to detect land‐use/cover changes in New Zealand's ‘indigenous’ grasslands

We compared four remote sensing methods to detect changes in New Zealand's grasslands (image differencing, normalised difference vegetation index (NDVI) differencing post‐classification and visual interpretation). The visual interpretation resulted in the best classification results, with a 98% overall accuracy when compared with ground‐truthed data. The tests on automatic classification (image differencing, NDVI differencing) and post classification had much lower accuracies, ranging from 47% to 56%. In the New Zealand grassland landscape, automatic detection methods were not able to differentiate between variations of soil moisture and vegetation phenology from variations in land‐use change. This, in combination with topographic effects, which have hampered the automated mapping of vegetation, is the main reason why visual interpretation of high‐resolution imagery is still needed.     

Geological fracture mapping in coalfields and the stress fields of the Sydney Basin

In the fracture pattern of the Sydney Basin, various fracture and stress domains that are spatially related can be recognised. At least for the western region of the Basin, periodic, relatively narrow domains (termed fault and joint swarms) that have a submeridional trend are believed to be similar to the Lapstone Monocline‐Kurrajong Fault structures, and may extend into the Lower Palaeozoic basement. An overall, horizontal N‐S and NE‐SW oriented principal compressive stress (σ₁) measured in collieries and inferred from earthquake events at depths of 10–20 km is a regional phenomenon (possibly Basin‐wide), which can be expected to be locally modified close to geological structures, especially in and close to fault and joint swarms, near major normal faults, and near minor thrust and strike‐slip faults. The interaction of colliery roadway drivage, local structures (faults and/or cleat) and the stress field permits inferences to be made about virgin stresses in coal seams. Some earthquakes coincide with fault and joint swarms, and others tend to have occurred close to or at swarm endpoints. It is concluded that the overall fracture pattern resulted from the cumulative development of fault and joint systems from mid‐Permian to Recent time. The comprehensive analysis of this pattern and its relationship to stress fields and seismic activity will require much more information.     

1302Å absorption measurement of atomic oxygen concentrations in the high latitude winter upper atmosphere

The first measurement of atomic oxygen concentration in the upper atmosphere using the resonance absorption lamp method was made 23 January 1974 in a flight from the Churchill Research Range (58.4°N, 94.1°W, geographic) in northern Canada. Earlier difficulties with the data analysis have been resolved to a limited extent, and a concentration profile over the range 90–155 km is presented here. In the interim period, the same technique has been employed by a number of investigators, but the importance of the present data is that the atomic oxygen concentration was measured by three independent methods on the same flight, aeronomical and mass spectrometric methods being used as well as resonance absorption. The results are in good agreement when current aeronomical understanding is employed. Comparison is made with other measurements and it is concluded that the high degree of variability observed may well be real. A simple argument based on these data shows that O₂(c¹Σ) cannot be the sole source of O(¹S) and O₂(b¹Σ) in the aurora.     

The solar terrestrial event of 14–21 December 1971: The pattern of 6300 Å emission over the polar cap

An exceptional solar terrestrial event was initiated by the ejection of plasma from the Sun on 14 December 1971 and was followed by a spectacular pattern of soft particle precipitation into the polar cap, which evolved in a slowly changing sequence until 21 December. The storm was characterized by high proton fluxes in space and near the Earth, an extended interval of northward B_z, a highly developed ring current and widespread polar cap particle fluxes. These varied from a dayside “butterfly pattern” early in the event, to highly structured Sun-aligned polar cap patterns late in recovery. A number of polar cap ground-based measurements were compiled and are reported upon. The storm seems reminiscent of the great red auroras of the IGY and some common features are noted. The 6300 Å emission is shown to result largely from direct excitation by low energy electrons, of a few hundred eV. Since the emission covered the Earth's high-latitude dayside region nearly to the invariant pole it indicates a magnetospheric topology that permits entry of low energy plasma over this region or of mechanisms which allow the generation or penetration of the plasma.