41 research outputs found
Recommended from our members
United States Historical Climatology Network Daily Temperature and Precipitation Data (1871-1997)
This document describes a database containing daily observations of maximum and minimum temperature, precipitation amount, snowfall amount, and snow depth from 1062 observing stations across the contiguous US. This database is an expansion and update of the original 138-station database previously released by the Carbon Dioxide Information Analysis Center (CDIAC) as CDIAC numeric data package NDP-042. These 1062 stations are a subset of the 1221-station US Historical Climatology Network (HCN), a monthly database compiled by the National Climatic Data Center (Asheville, North Carolina) that has been widely used in analyzing US climate. Data from 1050 of these daily records extend into the 1990s, while 990 of these extend through 1997. Most station records are essentially complete for at least 40 years; the latest beginning year of record is 1948. Records from 158 stations begin prior to 1900, with that of Charleston, South Carolina beginning the earliest (1871). The daily resolution of these data makes them extremely valuable for studies attempting to detect and monitor long-term climatic changes on a regional scale. Studies using daily data may be able to detect changes in regional climate that would not be apparent from analysis of monthly temperature and precipitation data. Such studies may include analyses of trends in maximum and minimum temperatures, temperature extremes, daily temperature range, precipitation ''event size'' frequency, and the magnitude and duration of wet and dry periods. The data are also valuable in areas such as regional climate model validation and climate change impact assessment. This database is available free of charge from CDIAC as a numeric data package (NDP)
Recommended from our members
Data Preparation and Analysis for Annex III, USA/PRC Cooperation in the Field of Atmospheric Trace Gases
The National Climatic Data Center (NCDC) has been a long-time and very active participant in the joint research program on the Greenhouse Effect created by the bilateral agreement Annex III to the Protocol on Fossil Energy Research and Development on Cooperation in the Field of Atmospheric Trace Gases. This agreement between the US Department of Energy (DOE) and the People's Republic of China, Chinese Academy of Sciences (CAS) has fostered a large amount of data set development and research (Riches et al., 1992) as well as science exchange between the two countries. Within the agreement there have been four basic tasks: (1) to analyze general circulation models, (2) to prepare, validate, and analyze data, (3) analyze the relationship between large scale and local climate, and (4) atmospheric trace gas measurements, particularly methane (Riches et al. 1992). Within this framework the NCDC has had two basic tasks in this program: to develop, validate, analyze and exchange long-term climate data sets suitable for analyzing past climate change, and to perform research into past climate change and linking large-scale and regional climates. Following is a brief review of NCDC's accomplishments in the project
Climate data challenges in the 21st century
International audienceClimate data are dramatically increasing in volume and complexity, just as the users of these data in the scientific community and the public are rapidly increasing in number. A new paradigm of more open, user-friendly data access is needed to ensure that society can reduce vulnerability to climate variability and change, while at the same time exploiting opportunities that will occur
Regional‐scale variability and change in daily precipitation across the contiguous United States, 1949–2018
Seasonal Variations in Diurnal Temperature Range From Satellites and Surface Observations
Rainfall Intensification Enhances Deep Percolation and Soil Water Content in Tilled and No‐Till Cropping Systems of the US Midwest
Impact of elevated temperature scenarios on potato leaf development Impacto de cenários de aumento de temperatura no desenvolvimento foliar da batata
The objective of this study was to simulate the impact of elevated temperature scenarios on leaf development of potato in Santa Maria, RS, Brazil. Leaf appearance was estimated using a multiplicative model that has a non-linear temperature response function which calculates the daily leaf appearance rate (LAR, leaves day-1) and the accumulated number of leaves (LN) from crop emergence to the appearance of the upper last leaf. Leaf appearance was estimated during 100 years in the following scenarios: current climate, +1 °C, +2 °C, +3 °C, +4 °C e +5 °C. The LAR model was estimated with coefficients of the Asterix cultivar in five emergence dates and in two growing seasons (Fall and Spring). Variable of interest was the duration (days) of the crop emergence to the appearance of the final leaf number (EM-FLN) phase. Statistical analysis was performed assuming a three-factorial experiment, with main effects being climate scenarios, growing seasons, and emergence dates in a completely randomized design using years (one hundred) as replications. The results showed that warmer scenarios lead to an increase, in the fall, and a decrease, in the spring growing season, in the duration of the leaf appearance phase, indicating high vulnerability and complexity of the response of potato crop grown in a Subtropical environment to climate change.<br>O objetivo, neste trabalho, foi estimar o impacto de cenários de temperaturas elevadas no desenvolvimento foliar da cultura da batata, em Santa Maria-RS, Brasil. A emissão de folhas da cultura da batata foi estimada por um modelo multiplicativo com função de reposta não linear à temperatura que calcula a taxa diária de aparecimento de folhas (TAF, folhas dia-1) e o número acumulado de folhas (NF) a partir da data de emergência da cultura até o surgimento da última folha. A emissão de folhas foi estimada em 100 anos de cada um dos cenários climáticos: clima atual, +1 °C, +2 °C, +3 °C, +4 °C e +5 °C. O modelo da TAF foi estimado com coeficientes da cultivar Asterix, em cinco datas de emergência e em duas estações de cultivo (Outono e Primavera). A variável de interesse foi duração (em dias) da fase de emergência das plântulas até o aparecimento da folha final (EM-FF). A análise estatística constou de um experimento trifatorial, com os fatores principais sendo cenários climáticos, estações de cultivo e datas de emergência no delineamento inteiramente casualizado, com anos (cem anos) como repetições. Observou-se que cenários mais quentes levam a um aumento, no cultivo de outono, e a uma diminuição, no cultivo de primavera, da duração da fase de emissão de folhas, indicando grande vulnerabilidade e complexidade da resposta da batata cultivada em ambiente Subtropical à mudança climática