Judul: Evaluation Of Extreme Rainfall Based On Reanalysis Data From CHIRPS, ERA5, And GPM In The Konaweha Watershed
Abstrak: Iklim ekstrem adalah suatu kondisi iklim diatas atau dibawah nilai ambang batas dari rentang variabel yang diamati, seperti meningkatnya intensitas curah hujan dan frekuensi musim kemarau yang semakin panjang dari kondisi normalnya. Tujuan dari penelitian ini adalah untuk mengevaluasi kemampuan data reanalisis untuk menduga curah hujan ekstrem di DAS Konaweha. Kemampuan reanalisis data ini dihitung berdasarkan curah hujan regional, uji kualitas data, kalibrasi, koreksi bias, validasi, dan indeks ekstrem. Hasil dari penelitian ini adalah data GPM mampu menghitung R50mm dan R95p dan ERA5 mampu menghitung Rx5day. Nilai uji statistik GPM pada R50mm dan R95p memiliki nilai P, Extreme climate is a climate condition above or below the threshold value of the observed variable range, such as increasing rainfall intensity and the frequency of the dry season that is getting longer than normal conditions. The purpose of this study is to evaluate the ability of reanalysis data to predict extreme rainfall in the Konaweha watershed. This data reanalysis capability is calculated based on regional rainfall, data quality tests, calibration, bias correction, validation, and extreme indexes. The result of this study is that GPM data is able to calculate R50mm and R95p and ERA5 is able to calculate Rx5day. The GPM statistical test value on R50mm and R95p has a P value
Keyword: CHIRPS, Konaweha watershed, Extreme, ERA5, GPM

Judul: Kuantifikasi Perubahan Curah Hujan Ekstrem dan Respon Hidrologi DAS dengan Menggunakan  Data  Proyeksi  Iklim  Beresolusi  Tinggi
Abstrak: Climate change has impacted various sectors, including water resources. The extent of the potential impact of climate change on hydrometeorological disasters has prompted a special study to manage extreme climate change, especially precipitation. Objectives of the study are to examine the reliability of high- resolution climate model outputs in representing historical and present extreme rainfall conditions and hydrological responses at watershed scale and analyses the hydrological response (flow discharge) to extreme precipitation in the future. The study used rainfall from high-resolution climate model (RCM), i.e. CORDEX (Coordinated Regional Climate Downscaling Experiment Southeast Asia) and NEX-GDDP (NASA Earth Exchange Global Daily Downscaled Projects) from three time periods, i.e. past (1981-2005), present (2006-2020), and future (2021- 2045) for Ciliwung watershed. The study applied the quantile mapping method to correct the bias of the RCM data, the hydrology response to rainfall used HEC- HMS model, and relationship between extreme streamflow causing flood with rainfall used regression model. The results of the analysis show that the corrected RCM outputs can represent the observed rain conditions quite well for most of the models, except for the ACCESS1-0 RCP8.5 model. Bias correction using the QM method can reduce the bias value of the model in historical and present periods, for both the RCP4.5 and RCP8.5 climate scenarios. The best performing models are ECEarth, CSIRO, MPI, and CNRM. Most of the models show good performance in representing extreme rainfall conditions. Furthermore, the results of the regression analysis show that extreme streamflow significantly associated with rainfall events one and two days before. Using the regression equations, it is indicated that the annual maximum discharge at the Katulampa and Depok water estimators will increase in the future according to the climate scenario RCP4.5, otherwise in the climate scenario RCP8.5. The frequency of extreme discharges is also predicted to increase in future.
Keyword: bias correction, climate change, discharge, precipitation

Judul: Embriogenesis ikan buta (Astyanax fasciatus)
Abstrak: Ikan buta Astyanax fasciatus adalah spesies ikan unik dari famili Characidae yang menempati perairan dalam gua di Wilayah La Cueva Chica-San Luis Potasi-Mexico. Ikan ini memiliki mata yang tereduksi (Blind Cavefish) dan warna kulit merah muda, pucat serta mengkilap.
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