An evaluation of the time of observation bias adjustment in the U.S. Historical Climatology Network

نویسندگان

  • Russell S. Vose
  • Claude N. Williams
  • Thomas C. Peterson
  • Thomas R. Karl
  • David R. Easterling
چکیده

[1] The U.S. Historical Climatology Network (HCN) database contains statistical adjustments that address historical changes in observation time at each observing station in the network. A paper in 2002 suggested that these adjustments cause HCN temperature trends to be ''spuriously'' warm relative to other datasets for the United States. To test this hypothesis, this paper evaluates the reliability of these ''time of observation bias'' adjustments in HCN. The results indicate that HCN station history information is reasonably complete and that the bias adjustment models have low residual errors. In short, the time of observation bias adjustments in HCN appear to be robust.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparative assessment between historical and future trends in the daily maximum temperature parameter over selected stations of Iran

Objective of this study is to determine whether there are significant changes in maximum temperature trends between the current (1981-2010) and future (2011-2099) periods. To this end, statistical downscaling is used to project future changes in the maximum temperatures according to A2 and B2 scenarios of HADCM3 in the 7 selected stations of Iran. The possibilities of an accelerating trend are ...

متن کامل

Direct observation of procedural skills (DOPS) evaluation method: Systematic review of evidence

Background: Evaluation is one of the most important aspects of medical education. Thus, new methods of effective evaluation are required in this area, and direct observation of procedural skills (DOPS) is one of these methods. This study was conducted to systematically review the evidence involved in this type of assessment to allow the effective use of this method.    Methods: Data ...

متن کامل

پیش‌بینی خشکسـالی شهـر خـاش بـا استفـاده از مـدل شبکـه عصبی

Drought Forecasting in Khash City by Using Neural Network Model Hossein Negaresh Associate Professor of Geography and Environmental PlanningFaculty, University of Sistan & Baluchestan Mohsen Armesh Holding Master Degree in climatology in Environmental Planning Extended Abstract 1- Introduction Drought is condition of lack of rainfall and increase in temperature occurring in...

متن کامل

F-STONE: A Fast Real-Time DDOS Attack Detection Method Using an Improved Historical Memory Management

Distributed Denial of Service (DDoS) is a common attack in recent years that can deplete the bandwidth of victim nodes by flooding packets. Based on the type and quantity of traffic used for the attack and the exploited vulnerability of the target, DDoS attacks are grouped into three categories as Volumetric attacks, Protocol attacks and Application attacks. The volumetric attack, which the pro...

متن کامل

Evaluation CMIP5 Models In Order to Simulate Rainfall by using a Combination of Precipitation data Network Aphrodit and Satellite Precipitation Persiann-cdr In Khuzestan Province

One of the most important Limitation General Circulation Models , Large scale are being simulation of climatic variables. So should With Various method are downscaled, The ability to have identified a study area. Choose a suitable GCM model for the study area Very important role In the simulation  parameter (precipitation) is intended for future. In this research of CMIP5 Models Contains BCC-CS...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003