Evaluating weather observations and the Climate Forecast System Reanalysis as inputs for hydrologic modelling in the tropics

Correctly representing weather is critical to hydrological modelling, but scarce or poor quality observations can often compromise model accuracy. Reanalysis datasets may help to address this basic challenge. The Climate Forecast System Reanalysis (CFSR) dataset provides continuous, globally available records, and CFSR data have produced satisfactory hydrological model performance in some temperate and monsoonal locations. However, the use of CFSR for hydrological modelling in tropical and semi‐tropical basins has not been adequately evaluated. Taking advantage of exceptionally high rainfall station density in the catchments of the Rio Grande de Loiza above San Juan, Puerto Rico, we compared model performance based on CFSR records with that based on publicly available weather stations in the Global Historical Climate Network (GHCN, n = 21) and on a dataset of rainfall records maintained by the United States Geological Survey Caribbean Water Science Center (USGS, n = 24). For an implementation of the Soil and Water Assessment Tool (SWAT) with subbasins defined at 11 streamflow gages, uncalibrated measures of Nash–Sutcliffe efficiency (NSE) were >0 at 8 of 11 gages using USGS precipitation data for daily simulations over the period 1998–2012, but were <0 using GHCN weather station records (8 of 11) and CFSR reanalysis data (9 of 11). Autocalibration of individual SWAT models for each of the 11 basins against each of the available weather datasets yielded NSE values > 0 using all precipitation inputs, including CFSR. However, the ground weather station closest to the geographic basin centre produced the highest NSE values in only 5 of 11 cases. The spatially interpolated CFSR data performed as well or better than single ground observations made further than 20–30 km, and sometimes better than individual weather stations <10 km from the basin centroid. In addition to demonstrating the need to evaluate available weather inputs, this research reinforces the value of CFSR data as a means to supplement ground records and consistently determine a baseline for hydrologic model performance. Copyright © 2016 John Wiley & Sons, Ltd.     

PETROCHEMICALS AND ECONOMIC DEVELOPMENT: THE IMPLICATIONS OF THE PUERTO RICAN EXPERIENCE∗

The oil refining and petrochemical industries have occupied an important role in Puerto Rico's development strategy since the early 1960s. However, the hopes epitomized in various planning models of highly integrated and diversified oil-based industrial complexes have not been fulfilled. This paper attempts to account for the discrepancy between official expectations and subsequent events in Puerto Rico and indicates some of the lessons for other developing countries.     

Controls on As, Pb, and Mn distribution in community soils of an historical mining district, southwestern Colorado

 Rico, Colorado is a small mountain community that was developed before the turn of the century around and near underground lead-zinc-silver mines. Today, US regulatory concerns in such communities focus on the metal content, particularly of lead, in community soils. This study integrates bedrock geology, surficial geology, mineralogy and geochemistry in order to define the controls on metal distribution in Rico community soils. The principal constituents of concern are As, Pb, and Mn. The results show that mining-related sources are discrete and localized whereas natural sources, including bedrock (mean Pb content of 3 500 ppm), colluvium (mean Pb content of 1 410 ppm), and older alluvium (mean Pb content of 744 ppm) are wider spread and are the principal sources of metals in Rico community soils. Historical mining sites like Rico should be expected to have significant surficial expressions of mineralized bedrock. In these communities, it is important to accurately define the role of all metal sources as a foundation for determining environmental liabilities, cleanup guidelines, and health risk assessments. The application of geology and mineralogy in support of geochemical characterization is necessary to accurately define the origin and distribution of both anthropogenic and natural metal sources at such sites. Received: 27 December 1996 · Accepted: 21 February 1997     

Spatial and Temporal Variations in the Zooplankton Community of Phosphorescent Bay, Puerto Rico

Nocturnal variations of zooplankton abundance and hydrographic conditions were examined at three locations (centre, north shore and south shore) in Phosphorescent Bay, Puerto Rico, from May 1992 through April 1993. Seven taxa accounted for approximately 96% of the annual mean zooplankton abundance:Oithonaspp. (43·5%),Acartia tonsa(31·5%), copepod nauplii (8·8%),Paracalanusspp.(6·7%), gastropod veligers (2·5%), larvaceans (1·7%) andPseudo-diaptomus cokeri(1·6%). Copepods dominated numerically throughout the year and comprised 94·3% of total zooplankton. Higher abundance of zooplankton (mean±1 SD=252 259±176 797 individuals m⁻³) was associated with cool water temperatures (24·9–27·4 °C) and dry conditions (0·3–2·9 cm precipitation/month) which prevailed between December and March relative to the period between April and November (warm/wet season) (mean±1 SD=59 773±26 861 individuals m⁻³), when temperature and precipitation were higher (27·3–30·3 °C, 3·1–20·6 cm month⁻¹). Fluctuations of zooplankton populations, particularly copepods, followed progressive increments in chlorophyllaconcentrations. This abundance pattern was consistent at the three sampling stations. Zooplankton abundance was higher on the north shore of the bay. The taxonomic composition of zooplankton was similar at the sampling stations studied.