Why the Provenance of Data Matters: Assessing Fitness for Purpose for Environmental Data
暂无分享,去创建一个
[1] C. Chatfield. Model uncertainty, data mining and statistical inference , 1995 .
[2] Paul H. Whitfield,et al. Designing monitoring programs for water quality based on experience in Canada I. Theory and framework , 2009 .
[3] Rui Zou,et al. Robust Water Quality Model Calibration Using an Alternating Fitness Genetic Algorithm , 2004 .
[4] C. Shu,et al. Regional low‐flow frequency analysis using single and ensemble artificial neural networks , 2009 .
[5] Patrice M. Pelletier,et al. Uncertainties in the single determination of river discharge: a literature review , 1988 .
[6] Taha B. M. J. Ouarda,et al. Intercomparison of homogenization techniques for precipitation data , 2008 .
[7] John Ewen,et al. Validation of catchment models for predicting land-use and climate change impacts. 3. Blind validation for internal and outlet responses , 2004 .
[8] Wolfgang Ludwig,et al. Impact of recent climate change on the hydrology of coastal Mediterranean rivers in Southern France , 2010 .
[9] T. Marsh,et al. Capitalising on river flow data to meet changing national needs — a UK perspective , 2002 .
[10] Robert Jeansoulin,et al. ONTOLOGICAL APPROACH OF THE FITNESS OF USE OF GEOSPATIAL DATASETS , 2004 .
[11] Sinan Sahin,et al. Homogeneity analysis of Turkish meteorological data set , 2010 .
[12] Roger Wood,et al. Empirical versus modelling approaches to the estimation of measurement uncertainty caused by primary sampling. , 2009, The Analyst.
[13] John R. Dymond,et al. Accuracy of discharge determined from a rating curve , 1982 .
[14] Paul H. Whitfield,et al. A Practical Model Integrating Quality Assurance Into Environmental Monitoring , 1993 .
[15] Paul H. Whitfield,et al. Estimates of Canadian Pacific Coast runoff from observed streamflow data , 2011 .
[16] H. E. Hurst,et al. Long-Term Storage Capacity of Reservoirs , 1951 .
[17] Keith Beven,et al. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology , 2001 .
[18] J. Wolfowitz,et al. An Exact Test for Randomness in the Non-Parametric Case Based on Serial Correlation , 1943 .
[19] Jane E. Klobas,et al. Beyond information quality: fitness for purpose and electronic information resource use , 1995, J. Inf. Sci..
[20] Tom Fearn,et al. What exactly is fitness for purpose in analytical measurement , 1996 .
[21] Anthony J. Jakeman,et al. Good Modelling Practice , 2008 .
[22] John Ewen,et al. Validation of catchment models for predicting land-use and climate change impacts. 1. Method , 1996 .
[23] David R. Easterling,et al. Critical issues for long-term climate monitoring , 1995 .
[24] R. Carney,et al. Data management and accountability in behavioral and biomedical research. , 1992, The American psychologist.
[25] W. D. Hogg,et al. Continuity of climatological observations with automation ‐ temperature and precipitation amounts from AWOS (Automated Weather Observing System) , 2002 .
[26] Blair Trewin,et al. Exposure, instrumentation, and observing practice effects on land temperature measurements , 2010 .
[27] David R. Easterling,et al. Effects of Recent Thermometer Changes in the Cooperative Station Network , 1991 .
[28] Ian Strangeways. Using Google Earth to evaluate GCOS weather station sites , 2009 .
[29] Paul H. Whitfield,et al. CONFLICTING PERSPECTWES ABOUT DETECTION LIMITS AND ABOUT THE CENSORING OF ENVIRONMENTAL DATA1 , 1994 .
[30] J. S. G. McCulloch,et al. All our yesterdays: a hydrological retrospective , 2007 .
[31] R. Forthofer,et al. Rank Correlation Methods , 1981 .
[32] B. Hawkins,et al. A framework: , 2020, Harmful Interaction between the Living and the Dead in Greek Tragedy.
[33] Michael Thompson,et al. A decision theory approach to fitness for purpose in analytical measurement. , 2002, The Analyst.
[34] Robin T. Clarke,et al. On the (mis)use of statistical methods in hydro-climatological research , 2010 .
[35] George E. P. Box,et al. Empirical Model‐Building and Response Surfaces , 1988 .
[36] J. Metcalfe,et al. Rainfall Measurement in Canada: Changing Observational Methodsand Archive Adjustment Procedures , 1997 .
[37] Michael H. Ramsey,et al. Modifying uncertainty from sampling to achieve fitness for purpose: a case study on nitrate in lettuce , 2007 .
[38] Michael H. Ramsey,et al. Uncertainty from sampling, in the context of fitness for purpose , 2007 .
[39] Andrew S. Pullin,et al. Data credibility: A perspective from systematic reviews in environmental management , 2009 .
[40] Richard B. Lammers,et al. Record Russian river discharge in 2007 and the limits of analysis , 2009 .
[41] Diane M. Strong,et al. Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..
[42] Kevin E Lansey,et al. Filtering bad measurement data for water distribution system demand estimation. , 2010 .
[43] M. Kendall,et al. Rank Correlation Methods , 1949 .
[44] Rj Howarth,et al. A simple fitness-for-purpose control chart based on duplicate results obtained from routine test materials , 2002 .
[45] Carole A Foy,et al. Standardisation of data from real-time quantitative PCR methods – evaluation of outliers and comparison of calibration curves , 2005, BMC biotechnology.
[46] Paul H. Whitfield,et al. Assessing Detectability of Change in Low Flows in Future Climates from Stage Discharge Measurements , 2006 .
[47] Steven C. Sherwood,et al. Simultaneous Detection of Climate Change and Observing Biases in a Network with Incomplete Sampling , 2007 .
[48] Michael Thompson,et al. Recent trends in inter-laboratory precision at ppb and sub-ppb concentrations in relation to fitness for purpose criteria in proficiency testing , 2000 .
[49] Ali Tokay,et al. Comparison of Rain Gauge Measurements in the Mid-Atlantic Region , 2010 .
[50] B. Endres-Niggemeyer,et al. Beyond information quality , 1994 .
[51] Francis W. Zwiers,et al. Avoiding Inhomogeneity in Percentile-Based Indices of Temperature Extremes , 2005 .