HUJAN EFEKTIF

Curah Hujan Efektif R80

Desa/Kel. Rata Mulie, Kec. Syiah Utama, Bener Meriah, Prov. Aceh

GPM01D_E09715_N0465

Detail Grid Data Harian

Panjang Data 28 tahun tersedia

R80 Rata-rata 3.71 mm/hari

Reff Padi Rata-rata 2.60 mm/hari

Reff Padi Maksimum 4.76 mm/hari

Metode mengikuti pola modul TRMM hidrologi.net: data setengah bulanan diurutkan, probabilitas Weibull dihitung dengan m/(n+1), R80 diinterpolasi, kemudian hujan efektif padi = 70% × R80 per hari.

Harian Bulanan Hari Hujan Maksimum Tahunan Hujan Efektif

DATA SETENGAH BULANAN

Curah Hujan per Periode I–II

Akumulasi curah hujan setengah bulanan untuk penyusunan ranking probabilitas.

mm/periode

Tahun	Jan		Feb		Mar		Apr		Mei		Jun		Jul		Agu		Sep		Okt		Nov		Des
Tahun	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II
1998	52.66	143.26	14.87	69.78	37.37	17.98	43.55	77.65	44.97	138.35	70.99	97.12	77.58	184.17	159.08	272.56	116.23	112.48	93.46	166.62	265.47	88.85	110.55	312.90
1999	94.23	278.06	80.23	110.19	159.87	116.83	98.82	69.36	165.50	145.23	88.77	40.09	101.86	18.60	32.07	110.78	144.11	91.91	122.54	155.95	59.59	112.06	281.49	165.69
2000	129.23	60.92	32.28	143.50	112.39	153.85	92.95	173.03	84.59	127.82	104.12	48.80	20.87	92.57	120.03	42.93	168.81	238.96	137.36	114.95	119.69	313.54	27.74	244.96
2001	155.78	99.00	57.67	30.87	83.28	107.51	93.23	101.70	105.46	39.00	62.58	62.53	80.85	111.07	65.03	91.92	147.02	142.28	71.68	336.28	266.67	88.56	146.31	258.84
2002	26.95	96.20	12.06	36.79	2.49	148.84	90.58	137.76	76.62	168.01	104.85	55.78	13.94	86.24	63.95	81.94	169.16	91.25	234.95	144.55	108.14	54.02	70.47	108.55
2003	63.09	155.96	57.81	87.49	28.91	202.93	102.61	76.35	161.18	16.14	31.66	116.70	91.55	79.99	85.93	137.78	74.54	155.03	188.50	92.33	131.38	85.13	214.25	22.54
2004	122.99	51.59	39.76	99.42	106.51	81.55	83.91	147.87	149.57	66.52	99.23	39.97	45.36	127.19	31.85	107.91	155.65	174.96	109.19	123.42	116.84	41.50	110.49	91.31
2005	187.99	143.94	1.51	15.42	16.45	145.95	163.83	9.08	84.79	142.96	127.01	22.95	43.16	133.82	57.34	154.11	36.03	96.22	177.79	158.30	164.21	255.42	253.83	119.72
2006	70.10	4.74	68.33	72.80	5.36	134.05	74.25	104.91	97.49	88.67	100.16	70.91	27.73	57.56	38.30	99.91	101.94	138.81	88.36	122.17	106.70	38.70	144.03	182.31
2007	46.19	80.28	7.22	40.02	99.62	59.34	166.26	57.97	135.32	84.98	134.58	47.96	36.66	162.88	42.85	148.63	78.19	76.98	66.74	276.70	140.97	145.57	196.79	101.68
2008	43.35	55.11	17.27	59.58	71.02	205.12	89.73	63.06	37.40	51.79	94.42	25.42	143.97	67.36	57.07	178.76	82.55	84.79	103.55	125.86	137.06	205.54	246.81	105.92
2009	145.22	24.80	4.40	42.93	92.59	164.88	99.07	49.38	121.08	144.75	57.30	56.37	52.41	33.25	101.21	164.50	70.50	98.49	74.14	101.01	196.70	208.84	174.55	34.85
2010	185.59	77.53	12.97	101.26	33.02	155.26	59.19	155.19	73.45	59.80	134.80	146.95	41.61	105.31	63.43	81.07	146.52	120.27	169.11	88.60	121.18	179.22	170.89	102.17
2011	153.50	42.44	55.61	25.75	156.98	219.35	85.04	112.13	63.23	91.28	53.37	70.06	61.72	37.39	145.95	169.26	80.62	62.89	141.06	124.25	124.27	74.46	111.56	192.68
2012	110.16	128.76	20.01	119.07	109.13	54.44	102.08	99.86	84.28	57.72	38.13	40.05	59.72	93.69	111.57	82.20	60.23	67.11	92.37	114.41	63.54	240.89	218.95	59.34
2013	69.82	118.69	40.23	139.69	101.54	7.96	102.76	104.06	81.24	93.57	79.40	99.55	56.91	38.21	113.26	51.67	141.54	26.11	95.02	122.68	75.99	59.37	83.30	250.18
2014	151.58	3.74	3.01	36.77	90.84	52.39	80.36	13.91	81.29	93.50	84.10	10.90	70.54	50.18	104.46	182.08	127.73	94.10	88.96	159.32	147.85	87.95	66.08	409.81
2015	165.95	16.18	4.27	74.19	13.05	47.22	116.56	58.42	117.57	65.18	113.43	48.04	45.16	72.05	95.80	94.77	57.02	192.33	149.46	106.32	133.76	110.69	147.78	43.99
2016	43.86	198.26	138.65	4.42	2.26	23.79	68.99	7.19	115.65	93.88	147.35	72.18	45.37	100.72	55.32	152.46	130.80	32.82	61.93	196.71	106.18	133.03	111.10	87.97
2017	165.11	165.17	60.93	61.76	52.98	102.21	120.81	51.07	97.33	72.69	78.20	81.05	110.57	33.85	149.49	125.20	143.31	85.07	204.02	144.26	127.24	156.25	334.01	80.38
2018	108.33	65.59	1.43	94.91	13.60	36.30	38.55	122.72	74.30	103.53	10.14	102.13	70.87	169.71	15.61	146.30	99.35	122.10	264.56	118.95	143.68	169.07	122.99	42.21
2019	46.24	107.55	21.55	58.82	17.03	63.65	62.85	76.71	54.05	130.86	115.87	36.80	18.13	77.42	32.40	115.96	88.96	66.77	123.85	155.09	142.97	56.01	122.60	85.53
2020	6.23	29.29	58.41	46.56	38.86	41.57	102.81	170.12	201.46	180.51	117.29	94.11	96.91	178.84	41.55	80.86	157.87	62.60	118.89	94.48	75.03	171.24	212.35	82.78
2021	234.33	62.16	83.94	0.55	80.48	155.41	52.97	113.06	59.57	83.13	83.82	88.17	159.51	73.86	85.89	236.57	53.04	117.14	26.82	255.45	106.30	151.94	75.43	230.16
2022	114.07	51.68	115.64	152.53	81.67	103.50	72.84	44.48	144.42	24.70	203.34	174.92	49.09	68.74	53.27	225.19	58.01	188.00	222.05	156.92	200.05	74.81	195.21	137.40
2023	138.58	180.44	40.41	35.51	66.36	41.40	10.57	59.75	69.49	140.04	100.15	72.12	89.42	19.28	79.66	104.42	96.73	97.19	107.52	143.28	100.55	110.22	162.63	166.71
2024	55.72	153.65	4.96	64.67	43.07	66.02	35.89	120.90	20.38	252.54	76.78	114.95	18.25	35.29	142.24	119.20	185.28	98.64	211.17	82.17	102.88	75.83	192.65	62.93
2025	180.93	111.05	22.48	75.60	91.70	106.25	211.13	99.36	88.52	161.23	98.78	24.08	83.60	13.60	92.79	79.30	104.35	57.42	–	–	–	–	–	–

HASIL R80

Ringkasan R80 dan Hujan Efektif

Nilai ditampilkan untuk periode I dan II setiap bulan.

Parameter	Jan I	Jan II	Feb I	Feb II	Mar I	Mar II	Apr I	Apr II	Mei I	Mei II	Jun I	Jun II	Jul I	Jul II	Agu I	Agu II	Sep I	Sep II	Okt I	Okt II	Nov I	Nov II	Des I	Des II
R80mm/periode	46.23	39.81	4.85	34.58	15.88	41.53	57.95	50.73	62.49	59.38	61.52	39.34	34.87	35.00	40.90	81.76	68.44	65.99	82.67	104.20	101.95	68.42	99.61	61.49
R80mm/hari	3.08	2.49	0.35	2.47	1.06	2.60	3.86	3.38	4.17	3.71	4.10	2.62	2.32	2.19	2.73	5.11	4.56	4.40	5.51	6.51	6.80	4.56	6.64	3.84
Reff Padimm/hari	2.16	1.74	0.24	1.73	0.74	1.82	2.70	2.37	2.92	2.60	2.87	1.84	1.63	1.53	1.91	3.58	3.19	3.08	3.86	4.56	4.76	3.19	4.65	2.69

R80

INTERPRETASI

Nilai R80 menggambarkan curah hujan yang dapat diandalkan pada probabilitas 80%. Hujan efektif padi pada modul ini dihitung sebesar 70% dari R80 harian dan dapat digunakan sebagai input awal analisis kebutuhan air irigasi dengan tetap memperhatikan metode desain dan data lapangan yang digunakan pada studi.