A Preliminary Assessment of the GSMaP Version 08 Products over Indonesian Maritime Continent against Gauge Data

نویسندگان

چکیده

This study is a preliminary assessment of the latest version Global Satellite Measurement Precipitation (GSMaP 08) data, which were released in December 2021, for Indonesian Maritime Continent (IMC), using rain gauge (RG) observations from 2021 to June 2022. Assessments carried out with 586 stations point-to-pixel approach through continuous statistical and contingency table metrics. It was found that coefficient correlation (CC) GSMaP 08 products against RG varied between low (CC = 0.14–0.29), moderate 0.33–0.45), good 0.72–0.75), hourly, daily, monthly scales tendency overestimate, indicated by positive relative bias (RB). Even though hourly data still low, can capture diurnal patterns IMC, as compatibility estimated peak times precipitation amount frequency. also manage observe heavy rainfall, detection (POD) values daily ranging probability 0.71 0.81. Such POD value followed relatively false alarm ratio (FAR) (FAR < 0.5). However, overestimates light rainfall (R 1 mm/day); consequence, it consecutive wet days (CWD) number ≥ mm (R1mm) indices, underestimates dry (CDD) extreme index. accuracy depends on IMC’s topographic conditions, especially real-time data. Of all evaluated, outperformed post-real-time non-gauge-calibrated (GSMaP_MVK), gauge-calibrated (GSMaP_Gauge), near-real-time (GSMaP_NRT_G), (GSMaP_NRT), (GSMaP_Now_G), (GSMaP_Now). Thus, have potential observing IMC faster latency.

منابع مشابه

A Stratospheric "Drain over the Maritime Continent

Operational wind data are used to show that the time-averaged mass flux near the tropopause is downward over the maritime continent (Indonesia) region during both summer and winter. The air descends within a layer above the convective level of neutral buoyancy (despite mean upward motion below and above this layer) and must rise through the mean tropopause elsewhere, contradicting the common vi...

متن کامل

Assessment of the Regional Climate Model Version 3 over the Maritime Continent Using Different Cumulus Parameterization and Land Surface Schemes

This paper describes an assessment of the Regional Climate Model, version 3 (RegCM3), coupled to two land surface schemes: the Biosphere–Atmosphere Transfer System, version 1e (BATS1e), and the Integrated Biosphere Simulator (IBIS). The model’s performance in simulating precipitation over the Maritime Continent was evaluated against the 3-hourly Tropical Rainfall Measuring Mission (TRMM) Multis...

متن کامل

the impact of training on second language writing assessment: a case of raters’ biasedness

چکیده هدف اول این تحقیق بررسی تأثیر آموزش مصحح بر آموزش گیرندگان براساس پایایی نمره های آنها در پنج بخش شامل محتوا ، سازمان ، لغت ، زبان و مکانیک بود. هدف دوم این بود که بدانیم آیا تفاوتهای بین آموزشی گیرندگان زن و مرد در پایایی نمرات آنها وجود دارد. برای بررسی این موارد ، ما 90 دانشجو در سطح میانه (متوسط) که از طریق تست تعیین سطح شده بودند انتخاب شدند. بعد از آنها خواستیم که درباره دو موضوع ا...

15 صفحه اول

Evaluation of a new convective cloud field model: precipitation over the maritime continent

A convective cloud field model (CCFM) is substituted for a standard mass flux parameterisation of convective clouds in a limited area atmospheric model (REMO) and is tested for a whole annual cycle (July 1997 to June 1998) over the West Pacific Maritime Continent. REMO with CCFM is run in 0.5-degree resolution and the model at the lateral boundaries is forced 6-hourly by ECMWF reanalysis data. ...

متن کامل

Precipitation over urban areas in the western Maritime Continent using a convection-permitting model

contrasts stronger, which enhances sea breeze circulations. Together, they increase near-surface moisture flux convergence and favour convective processes leading to an overall increase of precipitation over urban areas. The diurnal cycle of these effects is reflected in the atmospheric footprint of cities on variables such as humidity and cloud mixing ratio and accompanies changes in precipita...

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: Remote Sensing

سال: 2023

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs15041115