Datasets:

sdrbench
/

hurricane-isabel

variant stringclasses 20 values	field stringlengths 1 15	var stringclasses 20 values	step stringclasses 48 values	path stringlengths 11 36	dtype stringclasses 1 value	shape listlengths 3 3	file_shape listlengths 3 3	component null	transpose null	bytes int64 100M 100M	sha256 stringlengths 64 64
snapshot	CLOUD	CLOUD	null	100x500x500/CLOUDf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	c0300b207e87948f183226a0fb93d83924946ae34ae53015d7bfb667724d5000
snapshot	CLOUD_log10	CLOUD_log10	null	100x500x500/CLOUDf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	de3f2720bc59fdc50a8364dc8477d1bd845d5ebf65197db714f09353d139b11c
snapshot	PRECIP	PRECIP	null	100x500x500/PRECIPf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	686d0a49910e21b80e026bcb4221daae4cb93668f3c844e1653f574a5c8980c4
snapshot	PRECIP_log10	PRECIP_log10	null	100x500x500/PRECIPf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	44e1f9feebf1775e98016a00a719fb48df599bf117c0edf48bd04c9fefac4b7e
snapshot	P	P	null	100x500x500/Pf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	aeab396bf9c565544880ddeb665a4d98f9aeb65619a869adfea3936b46c2aff3
snapshot	QCLOUD	QCLOUD	null	100x500x500/QCLOUDf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	2f7eb21465e72c18fa5e2e0401c4e84aa1fd516e8d8b128aa88eeae1f667acef
snapshot	QCLOUD_log10	QCLOUD_log10	null	100x500x500/QCLOUDf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	d82d71154ae035729803923d604e65d7e986157b25c42bf67938389bd4f9aa10
snapshot	QGRAUP	QGRAUP	null	100x500x500/QGRAUPf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	489a8bc038820148e8a83d7ae54cbf6cdfacb9a0224295f53c91432f800a1fd6
snapshot	QGRAUP_log10	QGRAUP_log10	null	100x500x500/QGRAUPf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	1bb57dd7c03ab4078abb263dc765965400ebcfc660dc3b83d617e4375d51c9df
snapshot	QICE	QICE	null	100x500x500/QICEf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	6ba078572910623422f9cbe38b12af2c8c993f43ff937e654602c3ffba1eae6c
snapshot	QICE_log10	QICE_log10	null	100x500x500/QICEf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	08b2f8fbe7e1d933cb894fc31e160964843cbefd8456ac405e28cb06280b4a18
snapshot	QRAIN	QRAIN	null	100x500x500/QRAINf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	9722f3bf9b7588ee5d44e2dbae0b61242500b853762395dfcbc39b4d26dc60ab
snapshot	QRAIN_log10	QRAIN_log10	null	100x500x500/QRAINf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	8471c8bf8ba4e6b88552c16c94ecb2638f75ab962a23cef5ec73fd6325d66872
snapshot	QSNOW	QSNOW	null	100x500x500/QSNOWf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	1bfe64d657b9d452684059b1f74b805e99f47242602bad273a130dad74a013fb
snapshot	QSNOW_log10	QSNOW_log10	null	100x500x500/QSNOWf48.log10.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	9c44f1806f3993cd870005b942f74651361f975dd4aedbaaae3d7d241ba0bab7
snapshot	QVAPOR	QVAPOR	null	100x500x500/QVAPORf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	586c88340b2c33407aa45a7f0c63debdf1e34762eb1fa8b7bb41116d7257f14d
snapshot	TC	TC	null	100x500x500/TCf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	d170a0ce36a3eeb2f86598726d60cb1b5cc84cabdc76e036203eda994b213e31
snapshot	U	U	null	100x500x500/Uf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	d60dc2722819be5fb40afd115185de6aeca8b49281129a03dd50f26755285b37
snapshot	V	V	null	100x500x500/Vf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	87da5ec5b9fa1bafdf05aaf71e5acec6b619e31a625920aa9414ab3111dd218f
snapshot	W	W	null	100x500x500/Wf48.bin.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	194414b8a66446b7f5e105c2e855ccf62132de5621a5b068f150a272759aec01
CLOUD	CLOUD/01	CLOUD	01	CLOUDf/CLOUDf01.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	ea662cdfc8de75a52986bb7d7875a876f3f324a1bcccbdee0c0c8c218ee37631
CLOUD	CLOUD/02	CLOUD	02	CLOUDf/CLOUDf02.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	a6a9247146507ed33fc011beee0b93d20b67189bf0983207980776a2a157d842
CLOUD	CLOUD/03	CLOUD	03	CLOUDf/CLOUDf03.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	aa35515f1b3fcf8eaa4fe451ff3979e03f9f49a3f6083003c3068207116f0627
CLOUD	CLOUD/04	CLOUD	04	CLOUDf/CLOUDf04.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	b78284851192941ef371cfe2bc4a87a0d15618916124f5369c203a321f5e533d
CLOUD	CLOUD/05	CLOUD	05	CLOUDf/CLOUDf05.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4d9200cb43157e0c08b59b69389433472a1f45f0ba0a4383c35383b87672610d
CLOUD	CLOUD/06	CLOUD	06	CLOUDf/CLOUDf06.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	aea7d802632b09b8095977482491476c1494e6f7662588c47bdcedbde9e8ff4b
CLOUD	CLOUD/07	CLOUD	07	CLOUDf/CLOUDf07.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	90314757ed6db8d3437951a7f48b00e15a45e7a82218157a7ca184acab53249f
CLOUD	CLOUD/08	CLOUD	08	CLOUDf/CLOUDf08.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	eed7a3b15857e4999c8ebd7fe3b5a5ee1010a98a64703e2d988371024bc142d0
CLOUD	CLOUD/09	CLOUD	09	CLOUDf/CLOUDf09.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	07b5632a208645c433e6ca7fddd44be3d4e50161dcee8fbf211c510d3042ac12
CLOUD	CLOUD/10	CLOUD	10	CLOUDf/CLOUDf10.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	2c0db2c58864970724e33bce326dec1141e7cb9961d7368f7d96b7980f6872c5
CLOUD	CLOUD/11	CLOUD	11	CLOUDf/CLOUDf11.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	696838222c02e0caa206bf500cc29115ec33ee5b1cfcc507906addb37999c4e5
CLOUD	CLOUD/12	CLOUD	12	CLOUDf/CLOUDf12.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	68529aae92da564505e70e237c757689b29d49635930d50b5805b5d9337a07f4
CLOUD	CLOUD/13	CLOUD	13	CLOUDf/CLOUDf13.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	95afea61dd9a5d30645ac48a8066ba4053fc10959b208d4e0cd9de8a012172c9
CLOUD	CLOUD/14	CLOUD	14	CLOUDf/CLOUDf14.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	a3ee73e72228caff1d2192eb8c4e5ded17bd4817e7a872bab3dd1f5f803e61a6
CLOUD	CLOUD/15	CLOUD	15	CLOUDf/CLOUDf15.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	d2a69438534cd88b98101f049abe80fec6b957d83fae14558c3556644b2a52d1
CLOUD	CLOUD/16	CLOUD	16	CLOUDf/CLOUDf16.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	fb51bc8769a99ad7b40e9935c240a2fc6526b0302d1c3780860fad2c24893e57
CLOUD	CLOUD/17	CLOUD	17	CLOUDf/CLOUDf17.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	943d2923958a09cb0ca8f45a95d1b7db285005edc6eff9c213006d1e34071fac
CLOUD	CLOUD/18	CLOUD	18	CLOUDf/CLOUDf18.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e9190c48a0ea7589ece1318f657edb6c09d484e5fcc1aa474bd5fea92e3440d1
CLOUD	CLOUD/19	CLOUD	19	CLOUDf/CLOUDf19.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	12fadbe5ac81ee995fee4615aeb13299686f529c9ae550cbe1f1b83e7506bcb0
CLOUD	CLOUD/20	CLOUD	20	CLOUDf/CLOUDf20.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	fa7e64b267121401b91be0d20165b6f87c091026da102009e53be6b0cc727931
CLOUD	CLOUD/21	CLOUD	21	CLOUDf/CLOUDf21.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	8f3b06b544a05a58fa04d59938c8f013b21b49e17992bea2eb4f5fbefb302139
CLOUD	CLOUD/22	CLOUD	22	CLOUDf/CLOUDf22.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	46ab399b9bdc502c0b9b26e164f9a4d26b2bb27ba522ae87b1d182bba4c6faa8
CLOUD	CLOUD/23	CLOUD	23	CLOUDf/CLOUDf23.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	6dcda64d2f93bf0bccdb9fbdadc352fc667ccb076888cc2275f5876672952299
CLOUD	CLOUD/24	CLOUD	24	CLOUDf/CLOUDf24.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	2b52d422673c1ddcb224448ce3fc285cb7885840ab5510684368f42f827c0abd
CLOUD	CLOUD/25	CLOUD	25	CLOUDf/CLOUDf25.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	23374f6694592e3aac5c43f56364ec7ad25f680ff423fa2fcaf03f54a196eea2
CLOUD	CLOUD/26	CLOUD	26	CLOUDf/CLOUDf26.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e031e656f80937db1ef70475c21fcbacb7f5732686daaf80882caee1c0304eea
CLOUD	CLOUD/27	CLOUD	27	CLOUDf/CLOUDf27.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	61de116b3c9fabe3311ced092a68e76169b713c0ea1cb7f31e9a7bb9aceae0fb
CLOUD	CLOUD/28	CLOUD	28	CLOUDf/CLOUDf28.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	0be793b9856a5f1381ff5db4915e71960bb325135b32487fe5f98ad9b4b21263
CLOUD	CLOUD/29	CLOUD	29	CLOUDf/CLOUDf29.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e8c03742c794e2f1de62eedbc349d60b6524164f16e98e95d9d497af97fd3082
CLOUD	CLOUD/30	CLOUD	30	CLOUDf/CLOUDf30.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4e855137f4decca6a5834fdd6b02a5bd50f5599a74214779f4543801b8d78ea0
CLOUD	CLOUD/31	CLOUD	31	CLOUDf/CLOUDf31.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	b564d2d048f1a3e7fa48abbdf7a5544b6cae42d5ed281b4725fd4783dba0f42b
CLOUD	CLOUD/32	CLOUD	32	CLOUDf/CLOUDf32.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	01bc817d2fb537e1a274a34b1a406cb909be9f11a1a5438b306fb1eea8104c0c
CLOUD	CLOUD/33	CLOUD	33	CLOUDf/CLOUDf33.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	5cc61e426e4cd56d047dbe3517f549b457f9b620e4348b6aca7e7c730756ed23
CLOUD	CLOUD/34	CLOUD	34	CLOUDf/CLOUDf34.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	004081f59585d07f458891ea0f47f92001f5eae612ef9d9299f4831b280ffd31
CLOUD	CLOUD/35	CLOUD	35	CLOUDf/CLOUDf35.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	f99894e133436bfc242b48377d377cd851f7bccd21c174497ce2683376f9a952
CLOUD	CLOUD/36	CLOUD	36	CLOUDf/CLOUDf36.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	c50c8dcd666c51b515428c4645756de1dc6b33447e47e30de3567cde94b6ffba
CLOUD	CLOUD/37	CLOUD	37	CLOUDf/CLOUDf37.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	b2d393b0c213bec308ac8ecc9da7b804054fa77c61eda92260eea16627e5d29b
CLOUD	CLOUD/38	CLOUD	38	CLOUDf/CLOUDf38.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4b3478b3804edd38fc7364a87e3b226e5635e8dc756b4f892e4c8a7111c65148
CLOUD	CLOUD/39	CLOUD	39	CLOUDf/CLOUDf39.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	3c87d7ef04e582dfe302f7ebf7b8c3a4c32d8dcaa82a3ba77eb7c2106435e084
CLOUD	CLOUD/40	CLOUD	40	CLOUDf/CLOUDf40.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	14c8c81beb4825f20bf11c5ddf1c416b59f978488e2ba3d8d86c6765cf7897c0
CLOUD	CLOUD/41	CLOUD	41	CLOUDf/CLOUDf41.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	29885d5ee31bd6aca644223b32a3acbc0e0bd5ccfc5f9593b49b4ec49b7bc81e
CLOUD	CLOUD/42	CLOUD	42	CLOUDf/CLOUDf42.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	7f42676c37b27cd9edf461cd8cfaea72eef6958933f650e7f3ac5e4447aa8863
CLOUD	CLOUD/43	CLOUD	43	CLOUDf/CLOUDf43.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4223a4a66e3d30b37332f13fde8991149369746de23bb029f9f3e045cf1afd37
CLOUD	CLOUD/44	CLOUD	44	CLOUDf/CLOUDf44.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e156f6719ce85e40af982b797a011fcb44cd67e8e67a9d661fe5bece289419f6
CLOUD	CLOUD/45	CLOUD	45	CLOUDf/CLOUDf45.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	adc565045419652776a00a7c29e9444b05117eeaed9b3f5e79ec74ff745ee403
CLOUD	CLOUD/46	CLOUD	46	CLOUDf/CLOUDf46.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4f41922477931c8b4b5777fafd6161731ad19dc4407e8f846376f6536443e7ac
CLOUD	CLOUD/47	CLOUD	47	CLOUDf/CLOUDf47.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4c3a597934dbd41eb70801d5082fe1fa4a425c7f6985338a1f96441bb37850ff
CLOUD	CLOUD/48	CLOUD	48	CLOUDf/CLOUDf48.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	c0300b207e87948f183226a0fb93d83924946ae34ae53015d7bfb667724d5000
PRECIP	PRECIP/01	PRECIP	01	PRECIPf/PRECIPf01.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	2747deaf5960c894f0c5a627fe25ca5db5433a793930ffb800056bf8c60d7308
PRECIP	PRECIP/02	PRECIP	02	PRECIPf/PRECIPf02.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	b4e6f84fe0e017911639c222565e60e32f80764d572c027877fc31497a4bd8e1
PRECIP	PRECIP/03	PRECIP	03	PRECIPf/PRECIPf03.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	13f6fd81d471043c58debaa69758fe62e99a3635f19d47a52b34368e28388ff3
PRECIP	PRECIP/04	PRECIP	04	PRECIPf/PRECIPf04.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e9544a16f000ff2b3f7eec878ddd119929c3796ca69df6955a36bd09d7f3c011
PRECIP	PRECIP/05	PRECIP	05	PRECIPf/PRECIPf05.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4f366e3fe00bcf64b8b58cdaa5e24390fc96b3bb74e07022f32a6fe68b1a329d
PRECIP	PRECIP/06	PRECIP	06	PRECIPf/PRECIPf06.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	86ee83b9dd5244ebd99f761a2316873e1d4e30e31bdf401dc19b2b26d9659a9f
PRECIP	PRECIP/07	PRECIP	07	PRECIPf/PRECIPf07.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	8e3e52cc958cd166e63997217e734189db7948e69dd81f03acba2076937beff5
PRECIP	PRECIP/08	PRECIP	08	PRECIPf/PRECIPf08.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	463b26a957236b7e3206c1239138082104cf8fffd0203667fa77b4681c7a48d9
PRECIP	PRECIP/09	PRECIP	09	PRECIPf/PRECIPf09.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	be464df73afef26d6fbd428c2f3bbb393f20b6d82389c358251ed4cd2efbc295
PRECIP	PRECIP/10	PRECIP	10	PRECIPf/PRECIPf10.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4116704cd6cfb58138dd8b2a45ef05db2c3ff23b7913548a77968750cd2ddb49
PRECIP	PRECIP/11	PRECIP	11	PRECIPf/PRECIPf11.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	5019f599ec2ad69b88e7ea900963e9f08dc26ca3b23ed379d0ac48d31b5a8902
PRECIP	PRECIP/12	PRECIP	12	PRECIPf/PRECIPf12.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	3e68f15006ff6692a6e67f497d314d42a19afd36d8866196f7db7427b9ecd2e5
PRECIP	PRECIP/13	PRECIP	13	PRECIPf/PRECIPf13.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	d3c4add3deccbfc9fbc4a3ba3d2c2fcad5f2fbc38680da16cf78ea1b8770beba
PRECIP	PRECIP/14	PRECIP	14	PRECIPf/PRECIPf14.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	2124663f6b521425f8d83cae755cb29bda96bfcd5ec8cf2125ac7fd3c9ac8f9a
PRECIP	PRECIP/15	PRECIP	15	PRECIPf/PRECIPf15.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	4a95748b54a5bfbebd0ac5357f4477bbfff853605ca7eccd4007f36fee19b055
PRECIP	PRECIP/16	PRECIP	16	PRECIPf/PRECIPf16.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	74cdb14767cff257683c4d6fa668d5d02413f2f8c25ca29615be4a5f1c26007a
PRECIP	PRECIP/17	PRECIP	17	PRECIPf/PRECIPf17.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	b419452d1e60c6c1b4a86d5d1d92033581105e60bb5fd3a867d5a923617958c9
PRECIP	PRECIP/18	PRECIP	18	PRECIPf/PRECIPf18.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	a0c37b2559957bdceef579b285be9c9d244e869e79696229e22403588f7d192e
PRECIP	PRECIP/19	PRECIP	19	PRECIPf/PRECIPf19.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	528fcabdad868de5fa0ab19a19e14594fa2ae276b2f4fa52dc6fc9e798b37292
PRECIP	PRECIP/20	PRECIP	20	PRECIPf/PRECIPf20.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	7711b43f06d03f871dc03397526dae534c5a3f5b51c413001955c8a939a2218c
PRECIP	PRECIP/21	PRECIP	21	PRECIPf/PRECIPf21.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	bf77e6dec349f1661895b4ed8f087ad649181c24673ba244bcd4cd5b75d53dd2
PRECIP	PRECIP/22	PRECIP	22	PRECIPf/PRECIPf22.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	5060f99290479d1da86684c6217d23671d142633bcff2c0962ce5b91fcd24f3e
PRECIP	PRECIP/23	PRECIP	23	PRECIPf/PRECIPf23.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	d4d4e135fd3af5e6f243e6cceb8f9a1777fa46070866f72b14e5ffd41d1ef186
PRECIP	PRECIP/24	PRECIP	24	PRECIPf/PRECIPf24.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	a484d65dd45f6bbd9fe1e165925e7ffac6afa63a0dae64bd29d2bec47ddef0bb
PRECIP	PRECIP/25	PRECIP	25	PRECIPf/PRECIPf25.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	17cc0f26c5943f12a09f12fd09f35ff8cf38b7b67972db0ff0aff91f7034c62e
PRECIP	PRECIP/26	PRECIP	26	PRECIPf/PRECIPf26.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	3e61a58b854b21903e6c362876fef22fc58a92a23f566802a7d9ca8666ae4291
PRECIP	PRECIP/27	PRECIP	27	PRECIPf/PRECIPf27.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	18c670aa7c5768204ff6bf8015a30e0433155e11b34f8acc1571eccf9d624419
PRECIP	PRECIP/28	PRECIP	28	PRECIPf/PRECIPf28.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e4449f3f8b154181e27bbbedda92d7293a91850873fd64ca4042e360b79434a5
PRECIP	PRECIP/29	PRECIP	29	PRECIPf/PRECIPf29.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	9db081ad898390ff212707120403401e689584aba4f8b56a2d9d02fa5dc1797b
PRECIP	PRECIP/30	PRECIP	30	PRECIPf/PRECIPf30.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	e96a4feef68a1b778d1a0a6e126424348828c634c1b6f06bdf03b095a7b61e39
PRECIP	PRECIP/31	PRECIP	31	PRECIPf/PRECIPf31.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	a8a74eb36a67e5e35065d1fb983c7252c9972f338371cf0a264a828251987931
PRECIP	PRECIP/32	PRECIP	32	PRECIPf/PRECIPf32.f32	<f4	[ 100, 500, 500 ]	[ 100, 500, 500 ]	null	null	100,000,000	b69d21bb67e3108b537227488271f17e16047e14efd9fdeebfbef4f974e336e4

End of preview. Expand in Data Studio

SDRBench — Hurricane ISABEL

Hurricane Isabel (September 2003) simulated with the WRF weather model: 100 x 500 x 500 grid (z, y, x), 48 hourly time steps, single precision. Some fields also come log10-transformed.

Raw binary arrays, not an Arrow/Parquet dataset. datasets.load_dataset("sdrbench/hurricane-isabel") returns the table of files (files.jsonl: path, dtype, shape, sha256). Read the arrays with the sdrbench package or hf_hub_download + numpy as shown below.

This repository is an unmodified mirror of the Hurricane ISABEL data of SDRBench, the Scientific Data Reduction Benchmark. The originals are hosted by Argonne National Laboratory on Globus; every archive was unpacked and its files uploaded byte-for-byte (sha256 verified) (revision 212031b7dc). metadata/ holds the original SDRBench property and template files. Kept in sync automatically by szcompressor/sdrbench.

Data provider: NCAR; released for the IEEE Visualization 2004 Contest (http://vis.computer.org/vis2004contest/data.html)
Size: 93.2 GB in 20 variant(s)
Format: raw little-endian binary, C order (slowest dimension first); dtype and shape per field below

Acknowledgment requested by the data provider: Hurricane Isabel data produced by the Weather Research and Forecast (WRF) model, courtesy of NCAR, and the U.S. National Science Foundation (NSF).

Usage

pip install "sdrbench[sz3]"     # sdrbench + pysz (SZ3)

import numpy as np
import sdrbench
from pysz import sz, szConfig, szErrorBoundMode

ds = sdrbench.dataset("hurricane-isabel")                # default variant "snapshot"
print(ds.fields)
x = ds["CLOUD"]                     # numpy array, dtype <f4, shape (100, 500, 500)

# compress with SZ3 (pysz) at a 1e-3 value-range-relative error bound
conf = szConfig()
conf.errorBoundMode = szErrorBoundMode.REL
conf.relErrorBound = 1e-3
compressed, ratio = sz.compress(np.ascontiguousarray(x), conf)
y, _ = sz.decompress(compressed, x.dtype.type, x.shape)
max_err, psnr, nrmse = sz.verify(np.asarray(x), y)
print(f"ratio {ratio:.1f}x, PSNR {psnr:.1f} dB, max error {max_err:.3g}")

Files are fetched on first use (in parallel with ds.download("data/")) and cached, pinned to the revision of the installed sdrbench release; if Hugging Face is unreachable the package falls back to the original archive on Globus. Existing local SDRBench copies can be used with sdrbench.dataset("hurricane-isabel", root="/path").

Without the package, with huggingface_hub and numpy only:

from huggingface_hub import hf_hub_download
import numpy as np
p = hf_hub_download("sdrbench/hurricane-isabel", "100x500x500/CLOUDf48.bin.f32", repo_type="dataset", revision="212031b7dc82258bc10890ee35fa66b29ab01071")
x = np.fromfile(p, dtype="<f4").reshape((100, 500, 500))

Variants and fields

`snapshot` (default)

sdrbench.dataset("hurricane-isabel", "snapshot") — folder 100x500x500/ — 20 files, 2.0 GB, from SDRBENCH-Hurricane-ISABEL-100x500x500.tar.gz.

All 13 variables at time step 48, plus 7 log10-transformed ones.

Field	dtype	Shape (C order)	File
`CLOUD`	`<f4`	100 x 500 x 500	`100x500x500/CLOUDf48.bin.f32`
`CLOUD_log10`	`<f4`	100 x 500 x 500	`100x500x500/CLOUDf48.log10.bin.f32`
`PRECIP`	`<f4`	100 x 500 x 500	`100x500x500/PRECIPf48.bin.f32`
`PRECIP_log10`	`<f4`	100 x 500 x 500	`100x500x500/PRECIPf48.log10.bin.f32`
`P`	`<f4`	100 x 500 x 500	`100x500x500/Pf48.bin.f32`
`QCLOUD`	`<f4`	100 x 500 x 500	`100x500x500/QCLOUDf48.bin.f32`
`QCLOUD_log10`	`<f4`	100 x 500 x 500	`100x500x500/QCLOUDf48.log10.bin.f32`
`QGRAUP`	`<f4`	100 x 500 x 500	`100x500x500/QGRAUPf48.bin.f32`
`QGRAUP_log10`	`<f4`	100 x 500 x 500	`100x500x500/QGRAUPf48.log10.bin.f32`
`QICE`	`<f4`	100 x 500 x 500	`100x500x500/QICEf48.bin.f32`
`QICE_log10`	`<f4`	100 x 500 x 500	`100x500x500/QICEf48.log10.bin.f32`
`QRAIN`	`<f4`	100 x 500 x 500	`100x500x500/QRAINf48.bin.f32`
`QRAIN_log10`	`<f4`	100 x 500 x 500	`100x500x500/QRAINf48.log10.bin.f32`
`QSNOW`	`<f4`	100 x 500 x 500	`100x500x500/QSNOWf48.bin.f32`
`QSNOW_log10`	`<f4`	100 x 500 x 500	`100x500x500/QSNOWf48.log10.bin.f32`
`QVAPOR`	`<f4`	100 x 500 x 500	`100x500x500/QVAPORf48.bin.f32`
`TC`	`<f4`	100 x 500 x 500	`100x500x500/TCf48.bin.f32`
`U`	`<f4`	100 x 500 x 500	`100x500x500/Uf48.bin.f32`
`V`	`<f4`	100 x 500 x 500	`100x500x500/Vf48.bin.f32`
`W`	`<f4`	100 x 500 x 500	`100x500x500/Wf48.bin.f32`

`CLOUD`

sdrbench.dataset("hurricane-isabel", "CLOUD") — folder CLOUDf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-CLOUDf.tar.gz.

CLOUD at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("CLOUD"), ds["CLOUD", "01"].

Field	dtype	Shape (C order)	File
`CLOUD/01`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf01.f32`
`CLOUD/02`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf02.f32`
`CLOUD/03`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf03.f32`
`CLOUD/04`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf04.f32`
`CLOUD/05`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf05.f32`
`CLOUD/06`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf06.f32`
`CLOUD/07`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf07.f32`
`CLOUD/08`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf08.f32`
`CLOUD/09`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf09.f32`
`CLOUD/10`	`<f4`	100 x 500 x 500	`CLOUDf/CLOUDf10.f32`
... 38 more

`PRECIP`

sdrbench.dataset("hurricane-isabel", "PRECIP") — folder PRECIPf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-PRECIPf.tar.gz.

PRECIP at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("PRECIP"), ds["PRECIP", "01"].

Field	dtype	Shape (C order)	File
`PRECIP/01`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf01.f32`
`PRECIP/02`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf02.f32`
`PRECIP/03`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf03.f32`
`PRECIP/04`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf04.f32`
`PRECIP/05`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf05.f32`
`PRECIP/06`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf06.f32`
`PRECIP/07`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf07.f32`
`PRECIP/08`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf08.f32`
`PRECIP/09`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf09.f32`
`PRECIP/10`	`<f4`	100 x 500 x 500	`PRECIPf/PRECIPf10.f32`
... 38 more

`P`

sdrbench.dataset("hurricane-isabel", "P") — folder Pf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-Pf.tar.gz.

P at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("P"), ds["P", "01"].

Field	dtype	Shape (C order)	File
`P/01`	`<f4`	100 x 500 x 500	`Pf/Pf01.f32`
`P/02`	`<f4`	100 x 500 x 500	`Pf/Pf02.f32`
`P/03`	`<f4`	100 x 500 x 500	`Pf/Pf03.f32`
`P/04`	`<f4`	100 x 500 x 500	`Pf/Pf04.f32`
`P/05`	`<f4`	100 x 500 x 500	`Pf/Pf05.f32`
`P/06`	`<f4`	100 x 500 x 500	`Pf/Pf06.f32`
`P/07`	`<f4`	100 x 500 x 500	`Pf/Pf07.f32`
`P/08`	`<f4`	100 x 500 x 500	`Pf/Pf08.f32`
`P/09`	`<f4`	100 x 500 x 500	`Pf/Pf09.f32`
`P/10`	`<f4`	100 x 500 x 500	`Pf/Pf10.f32`
... 38 more

`QCLOUD`

sdrbench.dataset("hurricane-isabel", "QCLOUD") — folder QCLOUDf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QCLOUDf.tar.gz.

QCLOUD at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QCLOUD"), ds["QCLOUD", "01"].

Field	dtype	Shape (C order)	File
`QCLOUD/01`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf01.f32`
`QCLOUD/02`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf02.f32`
`QCLOUD/03`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf03.f32`
`QCLOUD/04`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf04.f32`
`QCLOUD/05`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf05.f32`
`QCLOUD/06`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf06.f32`
`QCLOUD/07`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf07.f32`
`QCLOUD/08`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf08.f32`
`QCLOUD/09`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf09.f32`
`QCLOUD/10`	`<f4`	100 x 500 x 500	`QCLOUDf/QCLOUDf10.f32`
... 38 more

`QGRAUP`

sdrbench.dataset("hurricane-isabel", "QGRAUP") — folder QCLOUDf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QCLOUDf.tar.gz.

QGRAUP at all 48 time steps. Stored in the SDRBench QCLOUDf archive (there is no separate QGRAUPf archive).

1 variable(s) x 48 steps (01 ... 48): ds.series("QGRAUP"), ds["QGRAUP", "01"].

Field	dtype	Shape (C order)	File
`QGRAUP/01`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf01.f32`
`QGRAUP/02`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf02.f32`
`QGRAUP/03`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf03.f32`
`QGRAUP/04`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf04.f32`
`QGRAUP/05`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf05.f32`
`QGRAUP/06`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf06.f32`
`QGRAUP/07`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf07.f32`
`QGRAUP/08`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf08.f32`
`QGRAUP/09`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf09.f32`
`QGRAUP/10`	`<f4`	100 x 500 x 500	`QCLOUDf/QGRAUPf10.f32`
... 38 more

`QICE`

sdrbench.dataset("hurricane-isabel", "QICE") — folder QICEf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QICEf.tar.gz.

QICE at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QICE"), ds["QICE", "01"].

Field	dtype	Shape (C order)	File
`QICE/01`	`<f4`	100 x 500 x 500	`QICEf/QICEf01.f32`
`QICE/02`	`<f4`	100 x 500 x 500	`QICEf/QICEf02.f32`
`QICE/03`	`<f4`	100 x 500 x 500	`QICEf/QICEf03.f32`
`QICE/04`	`<f4`	100 x 500 x 500	`QICEf/QICEf04.f32`
`QICE/05`	`<f4`	100 x 500 x 500	`QICEf/QICEf05.f32`
`QICE/06`	`<f4`	100 x 500 x 500	`QICEf/QICEf06.f32`
`QICE/07`	`<f4`	100 x 500 x 500	`QICEf/QICEf07.f32`
`QICE/08`	`<f4`	100 x 500 x 500	`QICEf/QICEf08.f32`
`QICE/09`	`<f4`	100 x 500 x 500	`QICEf/QICEf09.f32`
`QICE/10`	`<f4`	100 x 500 x 500	`QICEf/QICEf10.f32`
... 38 more

`QRAIN`

sdrbench.dataset("hurricane-isabel", "QRAIN") — folder QRAINf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QRAINf.tar.gz.

QRAIN at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QRAIN"), ds["QRAIN", "01"].

Field	dtype	Shape (C order)	File
`QRAIN/01`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf01.f32`
`QRAIN/02`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf02.f32`
`QRAIN/03`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf03.f32`
`QRAIN/04`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf04.f32`
`QRAIN/05`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf05.f32`
`QRAIN/06`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf06.f32`
`QRAIN/07`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf07.f32`
`QRAIN/08`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf08.f32`
`QRAIN/09`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf09.f32`
`QRAIN/10`	`<f4`	100 x 500 x 500	`QRAINf/QRAINf10.f32`
... 38 more

`QSNOW`

sdrbench.dataset("hurricane-isabel", "QSNOW") — folder QSNOWf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QSNOWf.tar.gz.

QSNOW at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QSNOW"), ds["QSNOW", "01"].

Field	dtype	Shape (C order)	File
`QSNOW/01`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf01.f32`
`QSNOW/02`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf02.f32`
`QSNOW/03`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf03.f32`
`QSNOW/04`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf04.f32`
`QSNOW/05`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf05.f32`
`QSNOW/06`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf06.f32`
`QSNOW/07`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf07.f32`
`QSNOW/08`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf08.f32`
`QSNOW/09`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf09.f32`
`QSNOW/10`	`<f4`	100 x 500 x 500	`QSNOWf/QSNOWf10.f32`
... 38 more

`QVAPOR`

sdrbench.dataset("hurricane-isabel", "QVAPOR") — folder QVAPORf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QVAPORf.tar.gz.

QVAPOR at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QVAPOR"), ds["QVAPOR", "01"].

Field	dtype	Shape (C order)	File
`QVAPOR/01`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf01.f32`
`QVAPOR/02`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf02.f32`
`QVAPOR/03`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf03.f32`
`QVAPOR/04`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf04.f32`
`QVAPOR/05`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf05.f32`
`QVAPOR/06`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf06.f32`
`QVAPOR/07`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf07.f32`
`QVAPOR/08`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf08.f32`
`QVAPOR/09`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf09.f32`
`QVAPOR/10`	`<f4`	100 x 500 x 500	`QVAPORf/QVAPORf10.f32`
... 38 more

`TC`

sdrbench.dataset("hurricane-isabel", "TC") — folder TCf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-TCf.tar.gz.

TC at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("TC"), ds["TC", "01"].

Field	dtype	Shape (C order)	File
`TC/01`	`<f4`	100 x 500 x 500	`TCf/TCf01.f32`
`TC/02`	`<f4`	100 x 500 x 500	`TCf/TCf02.f32`
`TC/03`	`<f4`	100 x 500 x 500	`TCf/TCf03.f32`
`TC/04`	`<f4`	100 x 500 x 500	`TCf/TCf04.f32`
`TC/05`	`<f4`	100 x 500 x 500	`TCf/TCf05.f32`
`TC/06`	`<f4`	100 x 500 x 500	`TCf/TCf06.f32`
`TC/07`	`<f4`	100 x 500 x 500	`TCf/TCf07.f32`
`TC/08`	`<f4`	100 x 500 x 500	`TCf/TCf08.f32`
`TC/09`	`<f4`	100 x 500 x 500	`TCf/TCf09.f32`
`TC/10`	`<f4`	100 x 500 x 500	`TCf/TCf10.f32`
... 38 more

`U`

sdrbench.dataset("hurricane-isabel", "U") — folder Uf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-Uf.tar.gz.

U at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("U"), ds["U", "01"].

Field	dtype	Shape (C order)	File
`U/01`	`<f4`	100 x 500 x 500	`Uf/Uf01.f32`
`U/02`	`<f4`	100 x 500 x 500	`Uf/Uf02.f32`
`U/03`	`<f4`	100 x 500 x 500	`Uf/Uf03.f32`
`U/04`	`<f4`	100 x 500 x 500	`Uf/Uf04.f32`
`U/05`	`<f4`	100 x 500 x 500	`Uf/Uf05.f32`
`U/06`	`<f4`	100 x 500 x 500	`Uf/Uf06.f32`
`U/07`	`<f4`	100 x 500 x 500	`Uf/Uf07.f32`
`U/08`	`<f4`	100 x 500 x 500	`Uf/Uf08.f32`
`U/09`	`<f4`	100 x 500 x 500	`Uf/Uf09.f32`
`U/10`	`<f4`	100 x 500 x 500	`Uf/Uf10.f32`
... 38 more

`V`

sdrbench.dataset("hurricane-isabel", "V") — folder Vf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-Vf.tar.gz.

V at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("V"), ds["V", "01"].

Field	dtype	Shape (C order)	File
`V/01`	`<f4`	100 x 500 x 500	`Vf/Vf01.f32`
`V/02`	`<f4`	100 x 500 x 500	`Vf/Vf02.f32`
`V/03`	`<f4`	100 x 500 x 500	`Vf/Vf03.f32`
`V/04`	`<f4`	100 x 500 x 500	`Vf/Vf04.f32`
`V/05`	`<f4`	100 x 500 x 500	`Vf/Vf05.f32`
`V/06`	`<f4`	100 x 500 x 500	`Vf/Vf06.f32`
`V/07`	`<f4`	100 x 500 x 500	`Vf/Vf07.f32`
`V/08`	`<f4`	100 x 500 x 500	`Vf/Vf08.f32`
`V/09`	`<f4`	100 x 500 x 500	`Vf/Vf09.f32`
`V/10`	`<f4`	100 x 500 x 500	`Vf/Vf10.f32`
... 38 more

`W`

sdrbench.dataset("hurricane-isabel", "W") — folder Wf/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-Wf.tar.gz.

W at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("W"), ds["W", "01"].

Field	dtype	Shape (C order)	File
`W/01`	`<f4`	100 x 500 x 500	`Wf/Wf01.f32`
`W/02`	`<f4`	100 x 500 x 500	`Wf/Wf02.f32`
`W/03`	`<f4`	100 x 500 x 500	`Wf/Wf03.f32`
`W/04`	`<f4`	100 x 500 x 500	`Wf/Wf04.f32`
`W/05`	`<f4`	100 x 500 x 500	`Wf/Wf05.f32`
`W/06`	`<f4`	100 x 500 x 500	`Wf/Wf06.f32`
`W/07`	`<f4`	100 x 500 x 500	`Wf/Wf07.f32`
`W/08`	`<f4`	100 x 500 x 500	`Wf/Wf08.f32`
`W/09`	`<f4`	100 x 500 x 500	`Wf/Wf09.f32`
`W/10`	`<f4`	100 x 500 x 500	`Wf/Wf10.f32`
... 38 more

`CLOUD_log10`

sdrbench.dataset("hurricane-isabel", "CLOUD_log10") — folder CLOUD_log10/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-CLOUD_log10.tar.gz.

log10 of CLOUD at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("CLOUD_log10"), ds["CLOUD_log10", "01"].

Field	dtype	Shape (C order)	File
`CLOUD_log10/01`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf01.bin.log10.f32`
`CLOUD_log10/02`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf02.bin.log10.f32`
`CLOUD_log10/03`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf03.bin.log10.f32`
`CLOUD_log10/04`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf04.bin.log10.f32`
`CLOUD_log10/05`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf05.bin.log10.f32`
`CLOUD_log10/06`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf06.bin.log10.f32`
`CLOUD_log10/07`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf07.bin.log10.f32`
`CLOUD_log10/08`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf08.bin.log10.f32`
`CLOUD_log10/09`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf09.bin.log10.f32`
`CLOUD_log10/10`	`<f4`	100 x 500 x 500	`CLOUD_log10/CLOUDf10.bin.log10.f32`
... 38 more

`QCLOUD_log10`

sdrbench.dataset("hurricane-isabel", "QCLOUD_log10") — folder QCLOUD_log10/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QCLOUD_log10.tar.gz.

log10 of QCLOUD at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QCLOUD_log10"), ds["QCLOUD_log10", "01"].

Field	dtype	Shape (C order)	File
`QCLOUD_log10/01`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf01.bin.log10.f32`
`QCLOUD_log10/02`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf02.bin.log10.f32`
`QCLOUD_log10/03`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf03.bin.log10.f32`
`QCLOUD_log10/04`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf04.bin.log10.f32`
`QCLOUD_log10/05`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf05.bin.log10.f32`
`QCLOUD_log10/06`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf06.bin.log10.f32`
`QCLOUD_log10/07`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf07.bin.log10.f32`
`QCLOUD_log10/08`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf08.bin.log10.f32`
`QCLOUD_log10/09`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf09.bin.log10.f32`
`QCLOUD_log10/10`	`<f4`	100 x 500 x 500	`QCLOUD_log10/QCLOUDf10.bin.log10.f32`
... 38 more

`QGRAUP_log10`

sdrbench.dataset("hurricane-isabel", "QGRAUP_log10") — folder QGRAUP_log10/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QGRAUP_log10.tar.gz.

log10 of QGRAUP at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QGRAUP_log10"), ds["QGRAUP_log10", "01"].

Field	dtype	Shape (C order)	File
`QGRAUP_log10/01`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf01.bin.log10.f32`
`QGRAUP_log10/02`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf02.bin.log10.f32`
`QGRAUP_log10/03`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf03.bin.log10.f32`
`QGRAUP_log10/04`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf04.bin.log10.f32`
`QGRAUP_log10/05`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf05.bin.log10.f32`
`QGRAUP_log10/06`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf06.bin.log10.f32`
`QGRAUP_log10/07`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf07.bin.log10.f32`
`QGRAUP_log10/08`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf08.bin.log10.f32`
`QGRAUP_log10/09`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf09.bin.log10.f32`
`QGRAUP_log10/10`	`<f4`	100 x 500 x 500	`QGRAUP_log10/QGRAUPf10.bin.log10.f32`
... 38 more

`QICE_log10`

sdrbench.dataset("hurricane-isabel", "QICE_log10") — folder QICE_log10/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QICE_log10.tar.gz.

log10 of QICE at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QICE_log10"), ds["QICE_log10", "01"].

Field	dtype	Shape (C order)	File
`QICE_log10/01`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf01.bin.log10.f32`
`QICE_log10/02`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf02.bin.log10.f32`
`QICE_log10/03`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf03.bin.log10.f32`
`QICE_log10/04`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf04.bin.log10.f32`
`QICE_log10/05`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf05.bin.log10.f32`
`QICE_log10/06`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf06.bin.log10.f32`
`QICE_log10/07`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf07.bin.log10.f32`
`QICE_log10/08`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf08.bin.log10.f32`
`QICE_log10/09`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf09.bin.log10.f32`
`QICE_log10/10`	`<f4`	100 x 500 x 500	`QICE_log10/QICEf10.bin.log10.f32`
... 38 more

`QRAIN_log10`

sdrbench.dataset("hurricane-isabel", "QRAIN_log10") — folder QRAIN_log10/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QRAIN_log10.tar.gz.

log10 of QRAIN at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QRAIN_log10"), ds["QRAIN_log10", "01"].

Field	dtype	Shape (C order)	File
`QRAIN_log10/01`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf01.bin.log10.f32`
`QRAIN_log10/02`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf02.bin.log10.f32`
`QRAIN_log10/03`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf03.bin.log10.f32`
`QRAIN_log10/04`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf04.bin.log10.f32`
`QRAIN_log10/05`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf05.bin.log10.f32`
`QRAIN_log10/06`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf06.bin.log10.f32`
`QRAIN_log10/07`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf07.bin.log10.f32`
`QRAIN_log10/08`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf08.bin.log10.f32`
`QRAIN_log10/09`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf09.bin.log10.f32`
`QRAIN_log10/10`	`<f4`	100 x 500 x 500	`QRAIN_log10/QRAINf10.bin.log10.f32`
... 38 more

`QSNOW_log10`

sdrbench.dataset("hurricane-isabel", "QSNOW_log10") — folder QSNOW_log10/ — 48 files, 4.8 GB, from SDRBENCH-Hurricane-ISABEL-QSNOW_log10.tar.gz.

log10 of QSNOW at all 48 time steps.

1 variable(s) x 48 steps (01 ... 48): ds.series("QSNOW_log10"), ds["QSNOW_log10", "01"].

Field	dtype	Shape (C order)	File
`QSNOW_log10/01`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf01.bin.log10.f32`
`QSNOW_log10/02`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf02.bin.log10.f32`
`QSNOW_log10/03`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf03.bin.log10.f32`
`QSNOW_log10/04`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf04.bin.log10.f32`
`QSNOW_log10/05`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf05.bin.log10.f32`
`QSNOW_log10/06`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf06.bin.log10.f32`
`QSNOW_log10/07`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf07.bin.log10.f32`
`QSNOW_log10/08`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf08.bin.log10.f32`
`QSNOW_log10/09`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf09.bin.log10.f32`
`QSNOW_log10/10`	`<f4`	100 x 500 x 500	`QSNOW_log10/QSNOWf10.bin.log10.f32`
... 38 more

Citation

Please cite SDRBench and the data provider (see above); sdrbench cite hurricane-isabel prints it:

@inproceedings{zhao2020sdrbench,
  title     = {{SDRBench}: Scientific Data Reduction Benchmark for Lossy Compressors},
  author    = {Zhao, Kai and Di, Sheng and Liang, Xin and Li, Sihuan and Tao, Dingwen and Chen, Zizhong and Cappello, Franck},
  booktitle = {2020 IEEE International Conference on Big Data (Big Data)},
  pages     = {2716--2724},
  year      = {2020}
}

License and terms

The data are distributed by the SDRBench team for research use under the terms of the original data providers listed above (see the SDRBench website); please acknowledge them as requested. Rights remain with the data providers.

Downloads last month: 28

SDRBench — Hurricane ISABEL

Usage

Variants and fields

snapshot (default)

CLOUD

PRECIP

P

QCLOUD

QGRAUP

QICE

QRAIN

QSNOW

QVAPOR

TC

U

V

W

CLOUD_log10

QCLOUD_log10

QGRAUP_log10

QICE_log10

QRAIN_log10

QSNOW_log10