HUJAN EFEKTIF

Curah Hujan Efektif R80

Desa/Kel. Siempat Rube Ii, Kec. Siempat Rube, Pakpak Bharat, Prov. Sumatera Utara

GPM01D_E09835_N0255

Detail Grid Data Harian

Panjang Data 28 tahun tersedia

R80 Rata-rata 4.00 mm/hari

Reff Padi Rata-rata 2.80 mm/hari

Reff Padi Maksimum 5.25 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	83.92	99.69	86.17	45.06	75.79	77.85	50.53	71.75	78.24	17.58	57.28	66.52	61.71	129.45	130.44	267.47	83.60	48.10	78.70	123.92	142.01	50.33	165.56	149.38
1999	110.91	96.67	130.24	61.69	137.83	85.18	140.42	53.95	56.00	103.76	50.63	84.01	54.30	49.32	45.27	135.53	140.79	220.46	201.68	127.58	49.44	144.20	186.11	64.90
2000	109.89	59.64	54.59	110.35	52.20	221.86	84.66	71.85	29.47	76.34	77.87	49.92	17.48	100.29	99.38	25.17	125.76	281.97	66.74	53.38	95.62	166.96	48.99	207.05
2001	105.68	112.01	97.82	84.92	57.96	65.15	130.81	110.12	76.99	12.03	35.03	92.54	24.83	69.70	23.21	97.79	103.60	145.97	57.61	170.63	168.91	55.45	33.43	253.28
2002	77.71	166.90	35.86	155.31	58.11	137.54	106.49	136.18	180.92	59.78	43.98	22.33	21.17	113.86	21.76	72.47	103.12	94.88	136.23	169.98	151.92	120.78	97.46	140.08
2003	175.83	122.32	91.53	101.54	116.08	151.12	191.81	129.12	93.91	3.15	35.36	162.45	75.26	52.84	156.35	105.24	48.87	115.85	192.60	44.50	126.62	168.20	167.59	19.82
2004	150.25	131.85	97.18	105.05	115.80	94.66	151.88	139.62	91.44	54.77	58.34	15.78	45.66	90.90	30.12	33.61	101.95	171.93	155.23	172.46	158.54	102.11	77.26	125.75
2005	98.68	116.99	61.84	73.47	63.34	121.03	82.38	158.57	76.26	32.86	38.58	41.26	74.78	73.58	13.16	234.66	49.11	78.19	187.89	172.40	134.09	110.58	171.94	40.37
2006	145.84	34.27	90.12	129.41	40.27	94.74	97.60	122.87	83.72	96.53	80.39	91.39	33.41	23.46	21.22	86.00	196.12	84.43	134.12	164.95	155.39	112.34	170.73	100.39
2007	93.57	160.31	27.58	114.87	53.03	112.82	158.05	115.29	112.08	145.83	87.90	43.75	22.79	205.83	33.01	98.75	124.66	67.13	234.32	184.38	162.37	69.72	202.07	66.15
2008	104.53	108.89	45.39	56.24	106.77	160.11	126.25	134.35	31.19	101.11	47.78	54.01	87.54	67.54	14.67	184.43	167.38	69.06	149.05	143.41	129.61	83.97	201.02	49.04
2009	61.77	104.85	12.28	110.89	229.59	130.99	161.17	37.25	100.44	17.95	18.67	78.41	49.12	16.50	50.60	105.94	98.23	64.27	39.82	202.48	171.22	72.35	98.01	139.52
2010	150.47	74.92	73.58	67.15	84.68	83.21	104.84	127.68	128.11	126.63	96.66	48.62	92.08	97.51	82.98	78.45	52.38	135.52	148.44	110.85	158.85	111.58	100.24	167.61
2011	76.71	85.36	84.43	51.93	102.49	187.45	105.67	177.05	11.92	164.16	52.28	40.43	45.63	21.27	81.08	146.56	90.23	87.04	113.08	152.59	210.90	133.12	141.09	150.63
2012	41.65	61.57	95.17	96.35	114.89	60.01	131.84	136.52	97.62	61.63	39.06	20.98	125.57	90.62	59.24	102.99	65.24	83.64	76.47	151.32	144.60	116.33	147.49	191.71
2013	57.68	167.02	96.62	128.64	65.00	114.03	73.97	178.75	117.72	27.34	47.01	74.38	24.97	13.62	28.29	135.61	103.90	21.72	131.63	254.30	170.34	85.40	158.99	158.76
2014	155.88	31.34	4.35	46.09	20.66	91.68	108.99	102.05	115.56	72.03	72.09	28.58	49.70	5.35	33.28	144.02	122.18	66.00	108.84	158.79	164.11	119.66	101.31	174.30
2015	112.07	111.05	64.84	79.69	87.25	131.26	170.40	135.77	94.73	45.78	67.26	7.33	29.82	30.81	75.17	64.42	96.03	79.96	99.59	81.80	121.99	95.51	245.95	58.71
2016	121.60	105.61	128.33	81.09	95.38	260.62	114.45	119.04	151.37	63.54	76.72	70.44	27.58	108.64	31.16	107.79	174.01	26.32	84.79	181.28	105.32	168.87	103.78	147.72
2017	99.43	203.89	19.39	149.59	99.40	76.34	66.21	123.40	69.90	58.14	14.24	58.73	58.41	15.73	106.60	51.92	196.04	104.39	162.49	84.65	191.48	180.81	154.55	190.60
2018	135.70	53.65	37.28	112.29	165.53	121.59	122.72	165.56	100.06	151.53	5.87	99.74	49.12	65.55	5.30	115.90	93.68	123.55	144.91	260.54	208.85	92.39	173.13	26.23
2019	89.89	109.44	108.31	78.94	40.36	146.53	104.98	51.47	88.41	140.22	132.02	15.81	18.45	27.65	28.81	81.72	30.71	45.19	180.50	176.96	72.94	134.46	175.43	121.70
2020	136.05	158.08	91.70	39.50	59.10	113.49	231.44	169.73	73.15	78.79	95.75	69.31	71.70	75.35	37.65	62.62	115.75	89.02	83.59	76.52	122.54	107.42	90.86	123.84
2021	135.91	76.58	16.90	40.90	111.53	201.55	115.92	109.76	106.12	38.49	76.66	98.93	104.84	11.23	99.55	156.37	75.28	142.18	29.24	202.38	117.27	132.95	201.42	122.97
2022	175.06	65.15	115.38	63.14	115.11	92.29	62.24	110.25	109.40	32.19	164.07	135.03	48.45	47.15	42.83	161.87	62.13	121.37	102.41	169.20	170.99	92.12	150.94	145.49
2023	71.49	128.90	62.02	40.17	144.65	142.20	95.33	98.27	107.12	69.72	30.91	61.48	112.88	45.62	115.15	93.11	94.76	82.24	74.63	140.65	141.74	202.62	163.85	159.29
2024	63.05	196.56	107.03	185.29	120.20	108.36	111.57	131.70	159.02	68.00	84.43	153.96	25.53	10.27	153.82	168.15	62.88	158.45	170.92	38.25	85.67	123.24	76.73	108.19
2025	96.18	181.14	42.49	118.10	79.72	120.68	156.07	80.32	86.18	19.70	51.43	28.69	58.85	8.13	84.36	41.52	102.31	74.94	–	–	–	–	–	–

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	75.67	64.43	34.20	50.76	56.97	84.78	84.20	78.62	72.50	25.81	35.29	27.33	24.94	15.31	22.92	64.06	62.73	65.65	75.73	83.51	112.49	84.83	94.82	62.42
R80mm/hari	5.04	4.03	2.44	3.63	3.80	5.30	5.61	5.24	4.83	1.61	2.35	1.82	1.66	0.96	1.53	4.00	4.18	4.38	5.05	5.22	7.50	5.66	6.32	3.90
Reff Padimm/hari	3.53	2.82	1.71	2.54	2.66	3.71	3.93	3.67	3.38	1.13	1.65	1.28	1.16	0.67	1.07	2.80	2.93	3.06	3.53	3.65	5.25	3.96	4.42	2.73

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.