Business Sphere, Vol. 18, no.3

Iowa may be known for some of the world’s most fertile cropland, but in recent years, we’ve become fertile ground for rapid growth in information technology as well. From the recent “plug-in” of Google’s $600-million Council Bluffs data center to Microsoft’s planned half-billion-dollar West Des Moines expansion to IBM’s 1,300-job-creating expansion in Dubuque, technology leaders are finding Iowa a place to grow. And why not? Iowa has a supportive business climate and its infrastructure — physical and human — give our technology companies the competitive advantages that allow them to grow and prosper.

Business Sphere, Vol. 19, no.3

Iowa may be known for some of the world’s most fertile cropland, but in recent years, we’ve become fertile ground for rapid growth in information technology as well. From the recent “plug-in” of Google’s $600-million Council Bluffs data center to Microsoft’s planned half-billion-dollar West Des Moines expansion to IBM’s 1,300-job-creating expansion in Dubuque, technology leaders are finding Iowa a place to grow. And why not? Iowa has a supportive business climate and its infrastructure — physical and human — give our technology companies the competitive advantages that allow them to grow and prosper.

Business Sphere, Vol. 21, no.2

In the fall of 2007, a group of individuals representing a wide range of aspects of the wind industry gathered together and voted to establish the Iowa Wind Energy Association (IWEA). Now in its second year and operated out of Iowa Lakes Community College in Estherville, our association’s increasing membership rolls parallel the phenomenal growth of the wind energyindustry in our state. IWEA has just concluded our second annual meeting which brought together a host of wind energy experts to share their knowledge and expertise. Attending were wind energy companies, wind developers, agricultural landowners, large- and small-scale wind farm producers, construction companies, energy companies, educators and students. This broad range of interests pursuing common goals has made the Iowa WindEnergy Association one of the largest state wind organizations in the nation.

A flood geodatabase and its climatological applications: the case of Catalonia for the last century

Floods are the natural hazards that produce the highest number of casualties and material damage in the Western Mediterranean. An improvement in flood risk assessment and study of a possible increase in flooding occurrence are therefore needed. To carry out these tasks it is important to have at our disposal extensive knowledge on historical floods and to find an efficient way to manage this geographical data. In this paper we present a complete flood database spanning the 20th century for the whole of Catalonia (NE Spain), which includes documentary information (affected areas and damage) and instrumental information (meteorological and hydrological records). This geodatabase, named Inungama, has been implemented on a GIS (Geographical Information System) in order to display all the information within a given geographical scenario, as well as to carry out an analysis thereof using queries, overlays and calculus. Following a description of the type and amount of information stored in the database and the structure of the information system, the first applications of Inungama are presented. The geographical distribution of floods shows the localities which are more likely to be flooded, confirming that the most affected municipalities are the most densely populated ones in coastal areas. Regarding the existence of an increase in flooding occurrence, a temporal analysis has been carried out, showing a steady increase over the last 30 years.

Tornadoes and waterspouts in Catalonia (1950-2009)

This paper presents a preliminary climatology of tornadoes and waterspouts in Catalonia (NE Iberian Peninsula). A database spanning 60 yr (1950-2009) has been developed on the basis of information collected from various sources such as weather reports, insurance companies, newspapers and damage surveys. This database has been subjected to a rigorous validation process, and the climatology describes its main features: timing, spatial pattern, and trends in the tornado and waterspout distribution. Results show the highest concentration of tornadoes from August to October, the highest density in the heavily populated coastal areas and a growing positive trend that is likely more closely linked to an increase in observation and perception rather than a real climatic trend.

Predictive ability of severe rainfall events over Catalonia for the year 2008

This paper analyses the predictive ability of quantitative precipitation forecasts (QPF) and the so-called "poor-man" rainfall probabilistic forecasts (RPF). With this aim, the full set of warnings issued by the Meteorological Service of Catalonia (SMC) for potentially-dangerous events due to severe precipitation has been analysed for the year 2008. For each of the 37 warnings, the QPFs obtained from the limited-area model MM5 have been verified against hourly precipitation data provided by the rain gauge network covering Catalonia (NE of Spain), managed by SMC. For a group of five selected case studies, a QPF comparison has been undertaken between the MM5 and COSMO-I7 limited-area models. Although MM5's predictive ability has been examined for these five cases by making use of satellite data, this paper only shows in detail the heavy precipitation event on the 9¿10 May 2008. Finally, the "poor-man" rainfall probabilistic forecasts (RPF) issued by SMC at regional scale have also been tested against hourly precipitation observations. Verification results show that for long events (>24 h) MM5 tends to overestimate total precipitation, whereas for short events (¿24 h) the model tends instead to underestimate precipitation. The analysis of the five case studies concludes that most of MM5's QPF errors are mainly triggered by very poor representation of some of its cloud microphysical species, particularly the cloud liquid water and, to a lesser degree, the water vapor. The models' performance comparison demonstrates that MM5 and COSMO-I7 are on the same level of QPF skill, at least for the intense-rainfall events dealt with in the five case studies, whilst the warnings based on RPF issued by SMC have proven fairly correct when tested against hourly observed precipitation for 6-h intervals and at a small region scale. Throughout this study, we have only dealt with (SMC-issued) warning episodes in order to analyse deterministic (MM5 and COSMO-I7) and probabilistic (SMC) rainfall forecasts; therefore we have not taken into account those episodes that might (or might not) have been missed by the official SMC warnings. Therefore, whenever we talk about "misses", it is always in relation to the deterministic LAMs' QPFs.

Trends in indices of daily precipitation extremes in Catalonia (NE Spain), 1951-2003

The aim of this paper is to quantitatively characterize the climatology of daily precipitation indices in Catalonia (northeastern Iberian Peninsula) from 1951 to 2003. This work has been performed analyzing a subset of the ETCCDI (Expert Team on Climate Change Detection and Indices) precipitation indices calculated from a new interpolated dataset of daily precipitation, namely SPAIN02, regular at 0.2° horizontal resolution (around 20 km) and from two high-quality stations: the Ebro and Fabra observatories. Using a jack-knife technique, we have found that the sampling error of the SPAIN02 regional averaged is relatively low. The trend analysis has been implemented using a Circular Block Bootstrap procedure applicable to non-normal distributions and autocorrelated series. A running trend analysis has been applied to analyze the trend persistence. No general trends at a regional scale are observed, considering the annual or the seasonal regional averaged series of all the indices for all the time windows considered. Only the consecutive dry days index (CDD) at annual scale shows a locally coherent spatial trend pattern; around 30% of the Catalonia area has experienced an increase of around 2¿3 days decade¿1. The Ebro and Fabra observatories show a similar CDD trend, mainly due to the summer contribution. Besides this, a significant decrease in total precipitation (around ¿10 mm decade¿1) and in the index "highest precipitation amount in five-day period" (RX5DAY, around ¿5 mm decade¿1), have been found in summer for the Ebro observatory.

Business Sphere, Vol. 20, no.2

With its central U.S. location, access to a plethora of agricultural raw materials, a highly educated and skilled workforce, and a supportive state government; food and ingredient manufacturers find many advantages to locating in Iowa. Another major plus for Iowa’s food makers is access to one of the strongest food science and human nutrition programs in the nation, located on the campus of Iowa State University (ISU). At ISU, you will find scientists who will assist your organization in bringing food related innovations in plant, animal and microbial products to commercialization. The Department of Food Sciences and Human Nutrition (FSHN) is jointly administered by the Colleges of Agriculture and Life Sciences and Human Sciences. Our mission is to generate new knowledge around food and human nutrition and to promote health through food.

Business Sphere, Vol. 19, no.2

The first commercial quantities of a soybean oil with about three percent linolenic acid oil were produced in Iowa in 1994 through a collaboration with Pioneer Hi-Bred International, Inc. Continued to breed new soybean varieties with a focus on a even lower linolenic acid content of one percent. I was interested in understanding whether the oil would be stable enough to eliminate the need for chemical hydrogenation. During the process of increasing one percent linolenic acid seed varieties to obtain oil for testing, the Food and Drug Administration announced it would require labeling for trans fat beginning in 2006. Instead of using the seed of the new varieties to obtain oil for testing, it was used for further seed production so that commercial quantities of the one percent linolenic acid oil could be available as quickly as possible.

Improving QPF by blending techniques at the Meteorological Service of Catalonia

The current operational very short-term and short-term quantitative precipitation forecast (QPF) at the Meteorological Service of Catalonia (SMC) is made by three different methodologies: Advection of the radar reflectivity field (ADV), Identification, tracking and forecasting of convective structures (CST) and numerical weather prediction (NWP) models using observational data assimilation (radar, satellite, etc.). These precipitation forecasts have different characteristics, lead time and spatial resolutions. The objective of this study is to combine these methods in order to obtain a single and optimized QPF at each lead time. This combination (blending) of the radar forecast (ADV and CST) and precipitation forecast from NWP model is carried out by means of different methodologies according to the prediction horizon. Firstly, in order to take advantage of the rainfall location and intensity from radar observations, a phase correction technique is applied to the NWP output to derive an additional corrected forecast (MCO). To select the best precipitation estimation in the first and second hour (t+1 h and t+2 h), the information from radar advection (ADV) and the corrected outputs from the model (MCO) are mixed by using different weights, which vary dynamically, according to indexes that quantify the quality of these predictions. This procedure has the ability to integrate the skill of rainfall location and patterns that are given by the advection of radar reflectivity field with the capacity of generating new precipitation areas from the NWP models. From the third hour (t+3 h), as radar-based forecasting has generally low skills, only the quantitative precipitation forecast from model is used. This blending of different sources of prediction is verified for different types of episodes (convective, moderately convective and stratiform) to obtain a robust methodology for implementing it in an operational and dynamic way.

Business Sphere, Vol. 20, no.1

Wind power is the fastest growing source of energy in the nation. New installations have expanded total U.S. generating capacity by 45 percent and injected over $9 billion in new investments into the economy in 2007. These new wind projects accounted for about 30 percent of the entire new power-producing capacity added nationally in 2007. According to our figures at the American Wind Energy Association, installed wind power capacity in the U.S. is now over 16,800 megawatts, and the future looks bright. With every wind turbine that goes up, America’s dependence on fossil fuels for power generation goes down. Wind energy represents a tremendous opportunity to use a non-polluting, inexhaustible source to meet our electric power needs.

Business Sphere, Vol. 19, no.1

Ethanol, the clean-burning, high octane fuel distilled from Iowa’s corn fields, has the potential to free the U.S. from its foreign oil dependence. Transforming corn into ethanol, however, takes energy, usually in the form of natural gas or coal. Ames-based Frontline BioEnergy is developing biomass-to-energy conversion methods that reduce an ethanol plant’s consumption of fossil fuels, making ethanol an even greener product. As Iowa’s ethanol industry continues to grow, developing energy from biomass could result in huge savings for the state’s production facilities.

Business Sphere, Vol. 18, no.1

Information technology is a strong and important sector of the Iowa economy employing 30,000 Iowans at more than 2,000 companies, according to a new analysis from Battelle Institute consultants. The strength of Iowa’s IT industry is based in the service-segment. Internet and data services, communications network services, and software and computer services constitute 81 percent of all IT employment. Slightly ahead of U.S. trends, these service sectors compose the backbone of Iowa’s IT industry,

Business Sphere, Vol. 21, no.1

These are exciting days in Iowa and the Upper Midwest—the preferred location for developing the green economy and the renewable energy industry. Forward looking policies of Governor Chet Culver, who has set a goal of making our state energy independent, and a ready response to new opportunities are moving Iowa forward in the vanguard of energy transformation. The adoption and consumption of alternative energy will continue to increase. We have succeeded where others are just beginning because we have the grain and crop residues that have made Iowa first in biofuels, sustained winds to get more of our electricity from wind than any other state, and research universities that are hotbeds of renewable energy innovation.

Business Sphere, Special Issue

Food products are a specialization, an industry of excellence, and thelargest sector of manufacturing employment in the state of Iowa. All ofthe top five food companies have operations in Iowa. According to Harris Info Source, manufacturing of foods and ingredients in Iowa employs 58,826 people at 775 plants. Processing and value adding enterprises are fed by nation-leading agriculture. Iowa is the top producer of corn, soybeans, hogs and eggs in the United States.