A Global Multiscale SPEI Dataset under an Ensemble Approach

نویسندگان

چکیده

A new multiscale Standardized Precipitation Evapotranspiration Index (SPEI) dataset is provided for a reference period (1960–1999) and two future time horizons (2040–2079) (2060–2099). The historical forcing based on combined climate observations reanalysis (WATer global CHange Forcing Dataset), the projections are fed by Fast Track experiment of Inter-Sectoral Impact Model Intercomparison Project under representative concentration pathways (RCPs) 4.5 8.5 an additional Earth system model (CMCC-CESM) forced RCP 8.5. To calculate potential evapotranspiration (PET) input to SPEI, Hargreaves–Samani Thornthwaite equations were adopted. This ensemble considers uncertainty due different models, development pathways, formulations. SPEI accumulation periods moisture deficit from 1 18 months starting in each month year, with focus within-period variability, excluding long-term warming effects PET. In addition supporting drought analyses, this also useful assessing wetter-than-normal conditions spanning one or more months. was calculated using SPEIbase package.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An ensemble approach for feature selection of Cyber Attack Dataset

Abstract— Feature selection is an indispensable pre-processing step when mining huge datasets that can significantly improve the overall system performance. Therefore in this paper we focus on a hybrid approach of feature selection. This method falls into two phases. The filter phase select the features with highest information gain and guides the initialization of search process for wrapper ph...

متن کامل

An automated multiscale ensemble simulation approach for vascular blood flow

Cerebrovascular diseases such as brain aneurysms are a primary cause of adult disability. The flow dynamics in brain arteries, both during periods of rest and increased activity, are known to be a major factor in the risk of aneurysm formation and rupture. The precise relation is however still an open field of investigation. We present an automated ensemble simulation method for modelling cereb...

متن کامل

Classifier Ensemble Framework: a Diversity Based Approach

Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in almost every task of pattern recognition. Classification as a major task in pattern recognition,...

متن کامل

Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach

In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which cont...

متن کامل

An Ensemble approach on Missing Value Handling in Hepatitis Disease Dataset

The Major work in data pre-processing is handling Missing value imputation in Hepatitis Disease Diagnosis which is one of the primary stage in data mining. Many health datasets are typically imperfect. Just removing the cases from the original datasets can fetch added problems than elucidations. A appropriate technique for missing value imputation can assist to generate high-quality datasets fo...

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

ژورنال

عنوان ژورنال: Data

سال: 2023

ISSN: ['2306-5729']

DOI: https://doi.org/10.3390/data8020036